Index

_

__and__() (pysatl_cpd.data.providers.transformers.base.ComposedTransformer method) (pysatl_cpd.data.providers.transformers.base.IDataTransformer method) __contains__() (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) __delattr__() (pysatl_cpd.typedefs.frozendict.frozendict method) __eq__() (pysatl_cpd.typedefs.frozendict.frozendict method) __getitem__() (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter method) (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) (pysatl_cpd.data.dataset.idataset.IDataset method) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling method) (pysatl_cpd.data.typedefs.segment.StateDescriptor method) (pysatl_cpd.typedefs.frozendict.frozendict method) __getstate__() (pysatl_cpd.typedefs.frozendict.frozendict method) __hash__() (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartConfiguration method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUMConfiguration method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUMState method) (pysatl_cpd.core.change_point_detector.ChangePointDetectorDescription method) (pysatl_cpd.core.detection_trace.DetectionTrace method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmConfiguration method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmDescription method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmState method) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchReducer method) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingCondition method) (pysatl_cpd.core.single_run.SingleRunDescription method) (pysatl_cpd.data.providers.transformers.base.IDataTransformer method) (pysatl_cpd.data.typedefs.annotations.BisegmentAnnotation method) (pysatl_cpd.data.typedefs.annotations.NoChangeSeriesAnnotation method) (pysatl_cpd.data.typedefs.annotations.SegmentAnnotation method) (pysatl_cpd.data.typedefs.annotations.TimeseriesAnnotation method) (pysatl_cpd.data.typedefs.annotations.UnlabeledTimeseriesAnnotation method) (pysatl_cpd.data.typedefs.segment.BisegmentInfo method) (pysatl_cpd.data.typedefs.segment.SegmentInfo method) (pysatl_cpd.data.typedefs.segment.StateDescriptor method) (pysatl_cpd.data.typedefs.segment.TransitionDescriptor method) (pysatl_cpd.typedefs.frozendict.frozendict method) __init__() (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.AbstractBayesian method) (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.BayesianOnlineCPDConfiguration method) (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.BayesianOnlineCPDState method) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPD method) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDConfiguration method) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDState method) (pysatl_cpd.algorithms.online.bayesian.component.cpf.drop.DropCPF method) (pysatl_cpd.algorithms.online.bayesian.component.hazard.constant.ConstantHazard method) (pysatl_cpd.algorithms.online.bayesian.component.likelihood.gaussian_conjugate.GaussianConjugate method) (pysatl_cpd.algorithms.online.bayesian.protocol.cpf.IBayesianCPF method) (pysatl_cpd.algorithms.online.bayesian.protocol.hazard.IHazard method) (pysatl_cpd.algorithms.online.bayesian.protocol.likelihood.ILikelihood method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChart method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartConfiguration method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState method) (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateVisualizer method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUMConfiguration method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUMState method) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCUSUM method) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCusumState method) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusum method) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusumState method) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusum method) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusumState method) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCUSUM method) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCusumState method) (pysatl_cpd.algorithms.online.cusum.component.cpf.crosier.ChangepointFuncCrosierCUSUM method) (pysatl_cpd.algorithms.online.cusum.component.cpf.page.ChangepointFuncUnivariatePageCUSUM method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.GaussianARSchema method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.GaussianMLESchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian.GaussianMonitoringSchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.variance.VarianceMonitoringSchema method) (pysatl_cpd.analysis.metrics.multiple_run.classification.base.TotalFN method) (pysatl_cpd.analysis.metrics.multiple_run.classification.base.TotalFP method) (pysatl_cpd.analysis.metrics.multiple_run.classification.base.TotalTP method) (pysatl_cpd.analysis.metrics.multiple_run.classification.fmeasure.FScoreMetric method) (pysatl_cpd.analysis.metrics.multiple_run.classification.precision.PrecisionMetric method) (pysatl_cpd.analysis.metrics.multiple_run.classification.recall.RecallMetric method) (pysatl_cpd.analysis.metrics.multiple_run.classification.report.ClassificationReport method) (pysatl_cpd.analysis.metrics.multiple_run.online.arl.ARLMetric method) (pysatl_cpd.analysis.metrics.multiple_run.online.delay.MeanDelayMetric method) (pysatl_cpd.analysis.metrics.multiple_run.online.delay.MedianDelayMetric method) (pysatl_cpd.analysis.metrics.single_run.classification.base.ClassificationMetricBase method) (pysatl_cpd.analysis.metrics.single_run.online.delays.Delays method) (pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer.IMetricVisualizer method) (pysatl_cpd.analysis.visualization.abstracts.ivisual_component.IVisualComponent method) (pysatl_cpd.analysis.visualization.abstracts.ivisualizer.IVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.metrics.arl_based_metric_visualizer.ARLBasedMetricVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.metrics.pr_auc_visualizer.PrAucVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.metrics.threshold_based_metric_visualizer.ThresholdBasedMetricVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter method) (pysatl_cpd.analysis.visualization.components.vert_fill.VerticalFillComponent method) (pysatl_cpd.analysis.visualization.components.vert_line.VerticalLineVisualComponent method) (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.CustomLayout method) (pysatl_cpd.analysis.visualization.online.states.state_dummy_visualizer.DummyStateVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.abstract_multivariate_timeseries_visualizer.AbstractMultivariateTimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer.PlainMultivariateTimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer.UnivariateTimeseriesVisualizer method) (pysatl_cpd.benchmark.benchmark.Benchmark method) (pysatl_cpd.benchmark.online.noreset.benchmark.OnlineNoResetBenchmark method) (pysatl_cpd.benchmark.online.noreset.detector.noreset_detector.NoResetOnlineDetector method) (pysatl_cpd.benchmark.online.noreset.entry.OnlineNoResetBenchmarkEntry method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetDerivedMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetMultipleRunMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetSingleRunMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetThresholdMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.classification.NoResetClassificationReport method) (pysatl_cpd.benchmark.online.noreset.metrics.classification.NoResetF1Metric method) (pysatl_cpd.benchmark.online.noreset.metrics.classification.NoResetPrecisionMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.classification.NoResetRecallMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.classification.NoResetTotalFNMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.classification.NoResetTotalFPMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.classification.NoResetTotalTPMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.online.NoResetARLMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.online.NoResetMeanDelayMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.online.NoResetMedianDelayMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.policy.base.NoResetPolicy method) (pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment.BisegmentPolicyBase method) (pysatl_cpd.benchmark.online.noreset.metrics.policy.nochange.NoChangePolicy method) (pysatl_cpd.benchmark.online.noreset.scenarios.base.NoResetBenchmarkScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global.NoResetClassificationTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition.NoResetClassificationTableByTransitionScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table.NoResetBisegmentsTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.state_arl.NoResetArlByStateScenario method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.AutoThresholdsRange method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.LinearThresholdsRange method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.ManualThresholdsRange method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.ThresholdsRange method) (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.NoResetThresholdResolver method) (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneConfig method) (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneResult method) (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base.NoResetAnalyzerBase method) (pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut.BisegmentCut method) (pysatl_cpd.benchmark.online.noreset.tooling.pickers.OnlineNoResetBisegmentByTransitionPicker method) (pysatl_cpd.benchmark.online.noreset.tooling.pickers.OnlineNoResetNoChangeByStatePicker method) (pysatl_cpd.benchmark.online.reset.benchmark.OnlineResetBenchmark method) (pysatl_cpd.benchmark.online.reset.entry.OnlineResetBenchmarkEntry method) (pysatl_cpd.benchmark.online.reset.scenarios.OnlineResetWholeTimeseriesMetricScenario method) (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) (pysatl_cpd.benchmark.scenarios.BenchmarkJob method) (pysatl_cpd.benchmark.tooling.BenchmarkEntriesPicker method) (pysatl_cpd.benchmark.tooling.BenchmarkEntriesPreparator method) (pysatl_cpd.core.change_point_detector.ChangePointDetector method) (pysatl_cpd.core.change_point_detector.ChangePointDetectorDescription method) (pysatl_cpd.core.detection_trace.DetectionTrace method) (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult method) (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace method) (pysatl_cpd.core.online.detectors.online_detector.OnlineDetector method) (pysatl_cpd.core.online.detectors.reset_detector.OnlineResetDetector method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmConfiguration method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmDescription method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmState method) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchingOnlineAlgorithmWrapper method) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchReducer method) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingCondition method) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingOnlineAlgorithmWrapper method) (pysatl_cpd.core.single_run.SingleRun method) (pysatl_cpd.core.single_run.SingleRunDescription method) (pysatl_cpd.data.dataset.dataset.Dataset method) (pysatl_cpd.data.dataset.idataset.IDataset method) (pysatl_cpd.data.dataset.state_dataset.StateDataset method) (pysatl_cpd.data.generator.dataset.LabeledDataGenerator method) (pysatl_cpd.data.generator.dataset.ScenarioDatasetGenerator method) (pysatl_cpd.data.generator.models.GeneratedSegment method) (pysatl_cpd.data.generator.models.GeneratedSeries method) (pysatl_cpd.data.generator.segments.interface.SegmentGenerator method) (pysatl_cpd.data.generator.segments.models.GeneratedSegment method) (pysatl_cpd.data.generator.series.GenericSeriesGenerator method) (pysatl_cpd.data.generator.specs.ExponentialSpec method) (pysatl_cpd.data.generator.specs.IndependentColumnsSpec method) (pysatl_cpd.data.generator.specs.MultivariateNormalSpec method) (pysatl_cpd.data.generator.specs.NormalSpec method) (pysatl_cpd.data.generator.specs.ScenarioSpec method) (pysatl_cpd.data.generator.specs.SegmentPlan method) (pysatl_cpd.data.generator.specs.SegmentSpec method) (pysatl_cpd.data.generator.specs.StudentTSpec method) (pysatl_cpd.data.generator.specs.UniformSpec method) (pysatl_cpd.data.loaders.folder_dataset.FolderCsvColumns method) (pysatl_cpd.data.providers.labeled.implementations.np_multivariate.PlainMultivariateLabeledData method) (pysatl_cpd.data.providers.labeled.implementations.np_univariate.PlainUnivariateLabeledData method) (pysatl_cpd.data.providers.labeled.implementations.pd_provider.PandasLabeledData method) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData method) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling method) (pysatl_cpd.data.providers.plain.np_multivariate.NDArrayMultivariateProvider method) (pysatl_cpd.data.providers.plain.np_univariate.NDArrayUnivariateProvider method) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider method) (pysatl_cpd.data.providers.transformers.base.ComposedTransformer method) (pysatl_cpd.data.providers.transformers.columns.ColumnFeatureCreator method) (pysatl_cpd.data.providers.transformers.columns.ColumnsSelectorTransformer method) (pysatl_cpd.data.typedefs.annotations.BisegmentAnnotation method) (pysatl_cpd.data.typedefs.annotations.NoChangeSeriesAnnotation method) (pysatl_cpd.data.typedefs.annotations.SegmentAnnotation method) (pysatl_cpd.data.typedefs.annotations.TimeseriesAnnotation method) (pysatl_cpd.data.typedefs.annotations.UnlabeledTimeseriesAnnotation method) (pysatl_cpd.data.typedefs.segment.BisegmentInfo method) (pysatl_cpd.data.typedefs.segment.SegmentInfo method) (pysatl_cpd.data.typedefs.segment.StateDescriptor method) (pysatl_cpd.data.typedefs.segment.TransitionDescriptor method) (pysatl_cpd.typedefs.frozendict.frozendict method)

__iter__() (pysatl_cpd.data.dataset.idataset.IDataset method) (pysatl_cpd.data.providers.data_provider.DataProvider method) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData method) (pysatl_cpd.data.providers.plain.np_multivariate.NDArrayMultivariateProvider method) (pysatl_cpd.data.providers.plain.np_univariate.NDArrayUnivariateProvider method) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider method) (pysatl_cpd.data.typedefs.segment.StateDescriptor method) (pysatl_cpd.typedefs.frozendict.frozendict method) __len__() (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) (pysatl_cpd.data.dataset.idataset.IDataset method) (pysatl_cpd.data.providers.data_provider.DataProvider method) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData method) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling method) (pysatl_cpd.data.providers.plain.np_multivariate.NDArrayMultivariateProvider method) (pysatl_cpd.data.providers.plain.np_univariate.NDArrayUnivariateProvider method) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider method) (pysatl_cpd.data.typedefs.segment.StateDescriptor method) (pysatl_cpd.typedefs.frozendict.frozendict method) __or__() (pysatl_cpd.data.providers.data_provider.DataProvider method) __post_init__() (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.BayesianOnlineCPDConfiguration method) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDConfiguration method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCusumConfiguration method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.AutoThresholdsRange method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.LinearThresholdsRange method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.ManualThresholdsRange method) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.ThresholdsRange method) (pysatl_cpd.core.change_point_detector.ChangePointDetectorDescription method) (pysatl_cpd.core.detection_trace.DetectionTrace method) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchReducer method) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingCondition method) (pysatl_cpd.data.generator.specs.IndependentColumnsSpec method) (pysatl_cpd.data.generator.specs.MultivariateNormalSpec method) (pysatl_cpd.data.generator.specs.ScenarioSpec method) (pysatl_cpd.data.generator.specs.SegmentSpec method) (pysatl_cpd.data.typedefs.segment.BisegmentInfo method) (pysatl_cpd.data.typedefs.segment.SegmentInfo method) __repr__() (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusum method) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusumConfiguration method) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusum method) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusumConfiguration method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm method) (pysatl_cpd.data.typedefs.segment.StateDescriptor method) (pysatl_cpd.data.typedefs.segment.TransitionDescriptor method) (pysatl_cpd.typedefs.frozendict.frozendict method) __setattr__() (pysatl_cpd.typedefs.frozendict.frozendict method) __setstate__() (pysatl_cpd.typedefs.frozendict.frozendict method)

A

AbstractBayesian (class in pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian) AbstractMultivariateTimeseriesVisualizer (class in pysatl_cpd.analysis.visualization.timeseries.abstract_multivariate_timeseries_visualizer) adaptive_estimation (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUMConfiguration attribute) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusumConfiguration attribute) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusumConfiguration attribute) add_component() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) add_series() (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer method) aggregate() (pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric.AggregationMetric method) (pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric.TotalMean method) (pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric.TotalMedian method) (pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric.TotalSum method) AggregationMetric (class in pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric) algorithm (pysatl_cpd.benchmark.online.noreset.entry.OnlineNoResetBenchmarkEntry attribute) (pysatl_cpd.core.online.detectors.online_detector.OnlineDetector attribute) algorithm_state (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult attribute) algorithm_states (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) alpha (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) alpha_params (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDState attribute) analyze() (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global.NoResetClassificationTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition.NoResetClassificationTableByTransitionScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table.NoResetBisegmentsTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.state_arl.NoResetArlByStateScenario method) (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.classification_table.NoResetClassificationTableAnalyzer method) (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment.NoResetBisegmentAnalyzer method) (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.state_arl.NoResetArlAnalyzer method) (pysatl_cpd.benchmark.online.reset.scenarios.OnlineResetWholeTimeseriesMetricScenario method) (pysatl_cpd.benchmark.scenarios.BenchmarkScenario method) analyze_runs() (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.state_arl.NoResetArlAnalyzer method) annotation (pysatl_cpd.data.providers.data_provider.DataProvider property) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData property) (pysatl_cpd.data.providers.plain.np_multivariate.NDArrayMultivariateProvider property) (pysatl_cpd.data.providers.plain.np_univariate.NDArrayUnivariateProvider property) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider property) (pysatl_cpd.data.providers.transformers.base.ComposedTransformer property) (pysatl_cpd.data.providers.transformers.base.IDataTransformer property) (pysatl_cpd.data.providers.transformers.columns.ColumnFeatureCreator property) (pysatl_cpd.data.providers.transformers.columns.ColumnsSelectorTransformer property)

AnnotationBuilder (in module pysatl_cpd.data.typedefs.annotations) AnnotationFilter (in module pysatl_cpd.data.typedefs.filters) apply() (pysatl_cpd.benchmark.online.noreset.metrics.policy.base.NoResetPolicy method) (pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment.BisegmentPolicyBase method) (pysatl_cpd.benchmark.online.noreset.metrics.policy.nochange.NoChangePolicy method) apply_matplotlib_plot_spec() (in module pysatl_cpd.analysis.visualization.utils) apply_matplotlib_twin_plot_spec() (in module pysatl_cpd.analysis.visualization.utils) apply_plotly_plot_spec() (in module pysatl_cpd.analysis.visualization.utils) apply_plotly_twin_plot_spec() (in module pysatl_cpd.analysis.visualization.utils) arl_length_checked (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition.NoResetClassificationTableByTransitionScenario property) ARLBasedMetricVisualizer (class in pysatl_cpd.analysis.visualization.benchmarking.metrics.arl_based_metric_visualizer) ARLMetric (class in pysatl_cpd.analysis.metrics.multiple_run.online.arl) ARLTable (in module pysatl_cpd.benchmark.online.noreset.benchmark) as_tuple (pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut.BisegmentCut property) auto_pick_thresholds() (in module pysatl_cpd.benchmark.online.noreset.thresholds.resolver) autoreg_order (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCusumConfiguration attribute) autoreg_window (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCusumConfiguration attribute) AutoregressiveCUSUM (class in pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum) AutoregressiveCusumConfiguration (class in pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum) AutoregressiveCusumState (class in pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum) AutoThresholdsRange (class in pysatl_cpd.benchmark.online.noreset.thresholds.ranges) Axes (in module pysatl_cpd.analysis.visualization.typedefs) axes (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateVisualizer property) (pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer.IMetricVisualizer property) (pysatl_cpd.analysis.visualization.abstracts.ivisualizer.IVisualizer property) (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer property) (pysatl_cpd.analysis.visualization.online.states.state_dummy_visualizer.DummyStateVisualizer property) (pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer.PlainMultivariateTimeseriesVisualizer property) (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer property) (pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer.UnivariateTimeseriesVisualizer property) axes_with_twin (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer property) AxisSelector (in module pysatl_cpd.analysis.visualization.timeseries.abstract_multivariate_timeseries_visualizer) AxMapping (in module pysatl_cpd.analysis.visualization.typedefs)

B

backend (pysatl_cpd.analysis.visualization.abstracts.ivisual_component.IVisualComponent property) (pysatl_cpd.analysis.visualization.abstracts.ivisualizer.IVisualizer property) (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer property) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter property) band_size (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateBandOpts attribute) base_metric (pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric.AggregationMetric property) (pysatl_cpd.analysis.metrics.multiple_run.classification.base.TotalFN property) (pysatl_cpd.analysis.metrics.multiple_run.classification.base.TotalFP property) (pysatl_cpd.analysis.metrics.multiple_run.classification.base.TotalTP property) (pysatl_cpd.analysis.metrics.multiple_run.online.arl.ARLMetric property) (pysatl_cpd.analysis.metrics.multiple_run.online.delay.MeanDelayMetric property) (pysatl_cpd.analysis.metrics.multiple_run.online.delay.MedianDelayMetric property) bases (pysatl_cpd.analysis.metrics.multiple_run.classification.fmeasure.FScoreMetric property) (pysatl_cpd.analysis.metrics.multiple_run.classification.precision.PrecisionMetric property) (pysatl_cpd.analysis.metrics.multiple_run.classification.recall.RecallMetric property) (pysatl_cpd.analysis.metrics.multiple_run.classification.report.ClassificationReport property) (pysatl_cpd.analysis.metrics.multiple_run.derived_metric.DerivedMetric property) BatchingOnlineAlgorithmWrapper (class in pysatl_cpd.core.online.wrappers.online_wrappers) BatchReducer (class in pysatl_cpd.core.online.wrappers.online_wrappers) BayesianOnlineCPDConfiguration (class in pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian) BayesianOnlineCPDState (class in pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian) Benchmark (class in pysatl_cpd.benchmark.benchmark) BenchmarkEntriesPicker (class in pysatl_cpd.benchmark.tooling) BenchmarkEntriesPreparator (class in pysatl_cpd.benchmark.tooling) BenchmarkEntryKey (in module pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer)

BenchmarkJob (class in pysatl_cpd.benchmark.scenarios) BenchmarkPlotter (class in pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter) BenchmarkRegistry (class in pysatl_cpd.benchmark.registry) BenchmarkScenario (class in pysatl_cpd.benchmark.scenarios) beta_params (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDState attribute) BISEGMENT (pysatl_cpd.data.typedefs.provider.ProviderType attribute) bisegment_cut (pysatl_cpd.benchmark.online.noreset.entry.OnlineNoResetBenchmarkEntry attribute) bisegment_end (pysatl_cpd.data.typedefs.segment.BisegmentInfo attribute) bisegment_num (pysatl_cpd.data.typedefs.segment.BisegmentInfo attribute) bisegment_start (pysatl_cpd.data.typedefs.segment.BisegmentInfo attribute) BisegmentAnnotation (class in pysatl_cpd.data.typedefs.annotations) BisegmentCut (class in pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut) BisegmentFilter (in module pysatl_cpd.data.typedefs.filters) BisegmentInfo (class in pysatl_cpd.data.typedefs.segment) BisegmentPolicyBase (class in pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment) BISEGMENTS_COLUMNS (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment.NoResetBisegmentAnalyzer attribute) BisegmentsClassificationTable (in module pysatl_cpd.benchmark.online.noreset.benchmark) BoolArray (in module pysatl_cpd.typedefs.base) bs_error (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneConfig attribute) build_classification_report() (pysatl_cpd.benchmark.online.noreset.benchmark.OnlineNoResetBenchmark static method) build_covariance_matrix() (in module pysatl_cpd.data.generator.segments.sampling) build_pandas_labeled_data() (in module pysatl_cpd.data.generator.providers.pd_provider) build_pandas_univariate_labeled_data() (in module pysatl_cpd.data.generator.providers.pd_provider) build_plain_multivariate_labeled_data() (in module pysatl_cpd.data.generator.providers.np_provider) build_plain_univariate_labeled_data() (in module pysatl_cpd.data.generator.providers.np_provider) build_preset_scenario() (in module pysatl_cpd.data.generator.presets)

C

calculate() (pysatl_cpd.algorithms.online.bayesian.component.cpf.drop.DropCPF method) (pysatl_cpd.algorithms.online.bayesian.component.cpf.max_run_length.MaxRunLengthCPF method) (pysatl_cpd.algorithms.online.bayesian.protocol.cpf.IBayesianCPF method) change_point (pysatl_cpd.data.typedefs.segment.BisegmentInfo attribute) change_points (pysatl_cpd.data.generator.models.GeneratedSeries property) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData property) changepoint_func (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) ChangePointDetector (class in pysatl_cpd.core.change_point_detector) ChangePointDetectorDescription (class in pysatl_cpd.core.change_point_detector) ChangepointFuncCrosierCUSUM (class in pysatl_cpd.algorithms.online.cusum.component.cpf.crosier) ChangepointFuncUnivariatePageCUSUM (class in pysatl_cpd.algorithms.online.cusum.component.cpf.page) classification_report (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base.NoResetBisigementClassificationMixin property) ClassificationMetricBase (class in pysatl_cpd.analysis.metrics.single_run.classification.base) ClassificationPrimitive (class in pysatl_cpd.analysis.metrics.single_run.classification.base) ClassificationReport (class in pysatl_cpd.analysis.metrics.multiple_run.classification.report) ClassificationTable (in module pysatl_cpd.benchmark.online.noreset.benchmark) clear() (pysatl_cpd.algorithms.online.bayesian.component.cpf.drop.DropCPF method) (pysatl_cpd.algorithms.online.bayesian.component.cpf.max_run_length.MaxRunLengthCPF method) (pysatl_cpd.algorithms.online.bayesian.component.likelihood.gaussian_conjugate.GaussianConjugate method) (pysatl_cpd.algorithms.online.bayesian.protocol.cpf.IBayesianCPF method) (pysatl_cpd.algorithms.online.bayesian.protocol.likelihood.ILikelihood method) (pysatl_cpd.analysis.visualization.components.vert_fill.VerticalFillComponent method) (pysatl_cpd.analysis.visualization.components.vert_line.VerticalLineVisualComponent method) clone() (pysatl_cpd.benchmark.online.noreset.detector.noreset_detector.NoResetOnlineDetector method) (pysatl_cpd.core.change_point_detector.ChangePointDetector method) (pysatl_cpd.core.online.detectors.online_detector.OnlineDetector method) (pysatl_cpd.core.online.detectors.reset_detector.OnlineResetDetector method) coefficients (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.EstimatesGaussianAR attribute) color (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) ColumnFeatureCreator (class in pysatl_cpd.data.providers.transformers.columns) columns (pysatl_cpd.data.generator.specs.IndependentColumnsSpec attribute) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider property) ColumnSelector (in module pysatl_cpd.data.providers.transformers.columns) ColumnsSelectorTransformer (class in pysatl_cpd.data.providers.transformers.columns) ComposedTransformer (class in pysatl_cpd.data.providers.transformers.base) compute() (pysatl_cpd.analysis.metrics.multiple_run.classification.fmeasure.FScoreMetric method) (pysatl_cpd.analysis.metrics.multiple_run.classification.precision.PrecisionMetric method) (pysatl_cpd.analysis.metrics.multiple_run.classification.recall.RecallMetric method) (pysatl_cpd.analysis.metrics.multiple_run.classification.report.ClassificationReport method) (pysatl_cpd.analysis.metrics.multiple_run.derived_metric.DerivedMetric method) condition (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingCondition attribute) configuration (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.AbstractBayesian property) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPD property) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChart property) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCUSUM property) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusum property) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusum property) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCUSUM property) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm property) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmDescription attribute) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchingOnlineAlgorithmWrapper property) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingOnlineAlgorithmWrapper property)

ConstantHazard (class in pysatl_cpd.algorithms.online.bayesian.component.hazard.constant) control_limit_color (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) control_limit_label (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) control_limit_linestyle (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) control_limit_linewidth (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) count (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.AutoThresholdsRange attribute) (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.LinearThresholdsRange attribute) cov (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.EstimatesGaussianMLE attribute) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.GaussianMLESchema property) cov_reg (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusumConfiguration attribute) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusumConfiguration attribute) covariance (pysatl_cpd.data.generator.specs.MultivariateNormalSpec attribute) cpf (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) cpf_type (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.BayesianOnlineCPDConfiguration attribute) create_feature_column() (pysatl_cpd.data.providers.labeled.implementations.pd_provider.PandasLabeledData method) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider method) create_figure_and_axes() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.CustomLayout method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.DashboardLayout method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.DashboardLiteLayout method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.ILayoutStrategy method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.SplitLayout method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.VerticalLayout method) CrosierCusum (class in pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum) CrosierCusumConfiguration (class in pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum) CrosierCusumState (class in pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum) curr_state (pysatl_cpd.data.typedefs.segment.TransitionDescriptor attribute) CustomLayout (class in pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts) cut() (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace method) (pysatl_cpd.data.providers.data_provider.DataProvider method) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData method) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling method) (pysatl_cpd.data.providers.plain.np_multivariate.NDArrayMultivariateProvider method) (pysatl_cpd.data.providers.plain.np_univariate.NDArrayUnivariateProvider method) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider method)

D

DashboardLayout (class in pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts) DashboardLiteLayout (class in pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts) data (pysatl_cpd.data.generator.models.GeneratedSegment attribute) (pysatl_cpd.data.generator.models.GeneratedSeries attribute) (pysatl_cpd.data.generator.segments.models.GeneratedSegment attribute) data_len (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling property) data_transformer (pysatl_cpd.benchmark.online.noreset.entry.OnlineNoResetBenchmarkEntry attribute) DataProvider (class in pysatl_cpd.data.providers.data_provider) Dataset (class in pysatl_cpd.data.dataset.dataset) dataset (pysatl_cpd.benchmark.benchmark.Benchmark property) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider property) dataset() (pysatl_cpd.data.providers.labeled.implementations.pd_provider.PandasLabeledData method) default_layout() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) default_merge_annotation_builder() (pysatl_cpd.data.providers.data_provider.DataProvider static method) default_slice_annotation() (pysatl_cpd.data.providers.data_provider.DataProvider method) define_plot() (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer method) Delays (class in pysatl_cpd.analysis.metrics.single_run.online.delays) delta (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCusumConfiguration attribute) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusumConfiguration attribute) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusumConfiguration attribute) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCusumConfiguration attribute) DerivedMetric (class in pysatl_cpd.analysis.metrics.multiple_run.derived_metric) description (pysatl_cpd.benchmark.online.noreset.detector.noreset_detector.NoResetOnlineDetector property) (pysatl_cpd.benchmark.online.noreset.entry.OnlineNoResetBenchmarkEntry property) (pysatl_cpd.benchmark.online.reset.entry.OnlineResetBenchmarkEntry property) (pysatl_cpd.core.change_point_detector.ChangePointDetector property) (pysatl_cpd.core.online.detectors.reset_detector.OnlineResetDetector property) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm property)

description() (pysatl_cpd.core.single_run.SingleRun method) detect() (pysatl_cpd.core.change_point_detector.ChangePointDetector method) (pysatl_cpd.core.online.detectors.online_detector.OnlineDetector method) detected_change_points (pysatl_cpd.core.detection_trace.DetectionTrace attribute) detection_function (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult attribute) (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) DetectionTrace (class in pysatl_cpd.core.detection_trace) detector (pysatl_cpd.benchmark.online.reset.entry.OnlineResetBenchmarkEntry attribute) (pysatl_cpd.benchmark.scenarios.BenchmarkJob attribute) detector_description (pysatl_cpd.core.detection_trace.DetectionTrace attribute) (pysatl_cpd.core.single_run.SingleRunDescription attribute) DetectorDescription (in module pysatl_cpd.benchmark.online.noreset.benchmark) df (pysatl_cpd.data.generator.specs.StudentTSpec attribute) dim (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) distribution (pysatl_cpd.data.generator.specs.SegmentPlan attribute) DistributionSpec (in module pysatl_cpd.data.generator.specs) draw() (pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer.IMetricVisualizer method) (pysatl_cpd.analysis.visualization.abstracts.ivisual_component.IVisualComponent method) (pysatl_cpd.analysis.visualization.abstracts.ivisualizer.IVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) DrawBackend (class in pysatl_cpd.analysis.visualization.typedefs) DrawOption (in module pysatl_cpd.analysis.visualization.typedefs) DropCPF (class in pysatl_cpd.algorithms.online.bayesian.component.cpf.drop) DummyStateVisualizer (class in pysatl_cpd.analysis.visualization.online.states.state_dummy_visualizer)

E

edge_color (pysatl_cpd.analysis.visualization.specs.FillSpec attribute) edge_linewidth (pysatl_cpd.analysis.visualization.specs.FillSpec attribute) end (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.LinearThresholdsRange attribute) entries (pysatl_cpd.benchmark.online.reset.scenarios.OnlineResetWholeTimeseriesMetricScenario attribute) estimates (pysatl_cpd.algorithms.online.cusum.abstracts.estimator.IEstimatingSchema property) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.GaussianARSchema property) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.GaussianMLESchema property) EstimatesGaussianAR (class in pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar) EstimatesGaussianMLE (class in pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle) estimating_schema (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) evaluate() (pysatl_cpd.algorithms.online.cusum.abstracts.monitoring.IMonitoringSchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian.GaussianMonitoringSchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian_arm.GaussianARMonitoringSchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.variance.VarianceMonitoringSchema method) (pysatl_cpd.analysis.metrics.abstracts.imultiple_run_metric.IMultipleRunMetric method) (pysatl_cpd.analysis.metrics.abstracts.isingle_run_metric.ISingleRunMetric method) (pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric.AggregationMetric method) (pysatl_cpd.analysis.metrics.multiple_run.derived_metric.DerivedMetric method) (pysatl_cpd.analysis.metrics.single_run.classification.base.ClassificationMetricBase method) (pysatl_cpd.analysis.metrics.single_run.classification.base.ClassificationPrimitive method) (pysatl_cpd.analysis.metrics.single_run.classification.fn_metric.FalseNegativeCount method) (pysatl_cpd.analysis.metrics.single_run.classification.fp_metric.FalsePositiveCount method) (pysatl_cpd.analysis.metrics.single_run.classification.tp_metric.TruePositiveCount method) (pysatl_cpd.analysis.metrics.single_run.online.delays.Delays method) (pysatl_cpd.analysis.metrics.single_run.online.run_lengths.RunLengths method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetDerivedMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetMultipleRunMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetSingleRunMetric method) (pysatl_cpd.benchmark.online.noreset.metrics.base.NoResetThresholdMetric method)

EVENT (pysatl_cpd.benchmark.online.noreset.policy_kind.NoResetPolicyKind attribute) EventBasedPolicy (class in pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment) executions_registry (pysatl_cpd.benchmark.registry.BenchmarkRegistry property) ExponentialSpec (class in pysatl_cpd.data.generator.specs) export_registry() (pysatl_cpd.benchmark.benchmark.Benchmark method) (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) extract_error_margin_from_report() (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment.NoResetBisegmentAnalyzer static method) extract_periods() (in module pysatl_cpd.core.online.detectors.online_detection_trace)

F

FalseNegativeCount (class in pysatl_cpd.analysis.metrics.single_run.classification.fn_metric) FalsePositiveCount (class in pysatl_cpd.analysis.metrics.single_run.classification.fp_metric) feature_columns (pysatl_cpd.data.loaders.folder_dataset.FolderCsvColumns attribute) (pysatl_cpd.data.providers.labeled.implementations.pd_provider.PandasLabeledData property) feature_names (pysatl_cpd.data.generator.models.GeneratedSegment attribute) (pysatl_cpd.data.generator.models.GeneratedSeries attribute) (pysatl_cpd.data.generator.segments.interface.SegmentGenerator property) (pysatl_cpd.data.generator.segments.models.GeneratedSegment attribute) feature_names_for_distribution() (in module pysatl_cpd.data.generator.segments.sampling) Figure (in module pysatl_cpd.analysis.visualization.typedefs) fill_alpha (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.FillSpec attribute) fill_color (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.FillSpec attribute) fill_spec_to_mpl_kwargs() (in module pysatl_cpd.analysis.visualization.utils) fill_spec_to_plotly_trace_kwargs() (in module pysatl_cpd.analysis.visualization.utils) filled_line_spec_to_mpl_fill_kwargs() (in module pysatl_cpd.analysis.visualization.utils) filled_line_spec_to_mpl_line_kwargs() (in module pysatl_cpd.analysis.visualization.utils) filled_line_spec_to_plotly_trace_kwargs() (in module pysatl_cpd.analysis.visualization.utils) FilledLineSpec (class in pysatl_cpd.analysis.visualization.specs) FillSpec (class in pysatl_cpd.analysis.visualization.specs)

filter_by_annotation() (pysatl_cpd.data.dataset.dataset.Dataset method) filter_by_bisegments() (pysatl_cpd.data.dataset.dataset.Dataset method) filter_by_segments() (pysatl_cpd.data.dataset.dataset.Dataset method) FolderCsvColumns (class in pysatl_cpd.data.loaders.folder_dataset) forced_change_points (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) freeze_distribution_mapping() (in module pysatl_cpd.data.generator.specs) freeze_float_mapping() (in module pysatl_cpd.data.generator.specs) freeze_state_mapping() (in module pysatl_cpd.data.generator.specs) freeze_univariate_mapping() (in module pysatl_cpd.data.generator.specs) from_change_points_and_states() (pysatl_cpd.data.typedefs.segment.SegmentInfo class method) from_dataframe() (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling class method) from_dataset() (pysatl_cpd.data.dataset.state_dataset.StateDataset class method) from_inf_trace() (pysatl_cpd.benchmark.online.noreset.detector.noreset_trace.NoResetDetectionTrace class method) from_mapping() (pysatl_cpd.typedefs.frozendict.frozendict class method) from_run() (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace class method) from_segment_tuple() (pysatl_cpd.data.typedefs.segment.BisegmentInfo class method) from_unlabeled_data() (pysatl_cpd.data.providers.labeled.implementations.np_multivariate.PlainMultivariateLabeledData class method) (pysatl_cpd.data.providers.labeled.implementations.np_univariate.PlainUnivariateLabeledData class method) (pysatl_cpd.data.providers.labeled.implementations.pd_provider.PandasLabeledData class method) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData class method) frozendict (class in pysatl_cpd.typedefs.frozendict) FScoreMetric (class in pysatl_cpd.analysis.metrics.multiple_run.classification.fmeasure)

G

GaussianARMonitoringSchema (class in pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian_arm) GaussianARSchema (class in pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar) GaussianConjugate (class in pysatl_cpd.algorithms.online.bayesian.component.likelihood.gaussian_conjugate) GaussianMLESchema (class in pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle) GaussianMonitoringSchema (class in pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian) GeneralizedCUSUM (class in pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum) GeneralizedCUSUMConfiguration (class in pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum) GeneralizedCUSUMState (class in pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum) generate() (pysatl_cpd.data.generator.dataset.LabeledDataGenerator method) (pysatl_cpd.data.generator.dataset.ScenarioDatasetGenerator method) (pysatl_cpd.data.generator.segments.interface.SegmentGenerator method) generate_from_scenario() (pysatl_cpd.data.generator.series.GenericSeriesGenerator method) generate_from_segment_generators() (pysatl_cpd.data.generator.series.GenericSeriesGenerator method) GeneratedSegment (class in pysatl_cpd.data.generator.models) (class in pysatl_cpd.data.generator.segments.models) GeneratedSeries (class in pysatl_cpd.data.generator.models) GenericSeriesGenerator (class in pysatl_cpd.data.generator.series)

get_ARL_table_by_state() (pysatl_cpd.benchmark.online.noreset.benchmark.OnlineNoResetBenchmark method) get_bisegments_table() (pysatl_cpd.benchmark.online.noreset.benchmark.OnlineNoResetBenchmark method) get_classification_table() (pysatl_cpd.benchmark.online.noreset.benchmark.OnlineNoResetBenchmark method) get_classification_table_by_transition() (pysatl_cpd.benchmark.online.noreset.benchmark.OnlineNoResetBenchmark method) get_component() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) get_matplotlib_legend_label() (in module pysatl_cpd.analysis.visualization.utils) get_metrics_for() (pysatl_cpd.benchmark.online.reset.benchmark.OnlineResetBenchmark method) get_plotly_legend_kwargs() (in module pysatl_cpd.analysis.visualization.utils) get_plotly_subplot_annotation_index() (in module pysatl_cpd.analysis.visualization.utils) get_pr_auc_table() (pysatl_cpd.benchmark.online.noreset.benchmark.OnlineNoResetBenchmark static method) get_preset_scenario() (in module pysatl_cpd.data.generator.presets) get_subplot_y_limits() (in module pysatl_cpd.analysis.visualization.utils) GoAxes (in module pysatl_cpd.analysis.visualization.typedefs) GoAxMapping (in module pysatl_cpd.analysis.visualization.typedefs) GoFigure (in module pysatl_cpd.analysis.visualization.typedefs) grid (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStatePlotOpts attribute) (pysatl_cpd.analysis.visualization.specs.PlotSpec attribute)

H

handle_benchmark_error() (pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table.NoResetBisegmentsTableScenario method) (pysatl_cpd.benchmark.scenarios.BenchmarkScenario method) hazard() (pysatl_cpd.algorithms.online.bayesian.component.hazard.constant.ConstantHazard method) (pysatl_cpd.algorithms.online.bayesian.protocol.hazard.IHazard method)

hazard_lambda (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDConfiguration attribute) high (pysatl_cpd.data.generator.specs.UniformSpec attribute) history (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.EstimatesGaussianAR attribute)

I

IBayesianCPF (class in pysatl_cpd.algorithms.online.bayesian.protocol.cpf) ICusumChangepointFunc (class in pysatl_cpd.algorithms.online.cusum.abstracts.changepoint_func) IDataset (class in pysatl_cpd.data.dataset.idataset) IDataTransformer (class in pysatl_cpd.data.providers.transformers.base) IEstimatingSchema (class in pysatl_cpd.algorithms.online.cusum.abstracts.estimator) IHazard (class in pysatl_cpd.algorithms.online.bayesian.protocol.hazard) ILayoutStrategy (class in pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts) ILikelihood (class in pysatl_cpd.algorithms.online.bayesian.protocol.likelihood) IMetricVisualizer (class in pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer) IMonitoringSchema (class in pysatl_cpd.algorithms.online.cusum.abstracts.monitoring) IMultipleRunMetric (class in pysatl_cpd.analysis.metrics.abstracts.imultiple_run_metric) IndependentColumnsSpec (class in pysatl_cpd.data.generator.specs) infer_t_max_from_trace_values() (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.NoResetThresholdResolver static method) intercept (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.EstimatesGaussianAR attribute) IOnlineStateVisualizer (class in pysatl_cpd.analysis.visualization.online.states.ionline_state_visualizer) is_change_point (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult property) is_forced_change_point (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult attribute)

is_in_learning_period (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmState attribute) is_in_skip_period (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult attribute) is_matplotlib_axes() (in module pysatl_cpd.analysis.visualization.utils) is_matplotlib_figure() (in module pysatl_cpd.analysis.visualization.utils) is_matplotlib_mapping() (in module pysatl_cpd.analysis.visualization.utils) is_noop (pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut.BisegmentCut property) is_plotly_axes() (in module pysatl_cpd.analysis.visualization.utils) is_plotly_figure() (in module pysatl_cpd.analysis.visualization.utils) is_plotly_mapping() (in module pysatl_cpd.analysis.visualization.utils) is_signal_change_point (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult attribute) ISchemaEstimates (class in pysatl_cpd.algorithms.online.cusum.abstracts.estimator) ISingleRunMetric (class in pysatl_cpd.analysis.metrics.abstracts.isingle_run_metric) items() (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) ITimeseriesVisualizer (class in pysatl_cpd.analysis.visualization.abstracts.itimeseries_visualizer) ITraceVisualizer (class in pysatl_cpd.analysis.visualization.abstracts.itrace_visualizer) IVisualComponent (class in pysatl_cpd.analysis.visualization.abstracts.ivisual_component) IVisualizer (class in pysatl_cpd.analysis.visualization.abstracts.ivisualizer)

K

k_params (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDState attribute) keys() (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) kind (pysatl_cpd.data.generator.specs.ExponentialSpec attribute) (pysatl_cpd.data.generator.specs.IndependentColumnsSpec attribute) (pysatl_cpd.data.generator.specs.MultivariateNormalSpec attribute) (pysatl_cpd.data.generator.specs.NormalSpec attribute) (pysatl_cpd.data.generator.specs.StudentTSpec attribute) (pysatl_cpd.data.generator.specs.UniformSpec attribute)

L

label (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.FillSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) LabeledData (class in pysatl_cpd.data.providers.labeled.labeled_data) LabeledDataGenerator (class in pysatl_cpd.data.generator.dataset) learning_period_size (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmConfiguration attribute) learning_periods (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) left_trim (pysatl_cpd.benchmark.online.noreset.detector.noreset_detector.NoResetOnlineDetector property) (pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut.BisegmentCut attribute) legend (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.FillSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) legend_group (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.FillSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute)

length (pysatl_cpd.data.generator.segments.interface.SegmentGenerator property) (pysatl_cpd.data.generator.specs.SegmentSpec attribute) line_spec_to_mpl_kwargs() (in module pysatl_cpd.analysis.visualization.utils) line_spec_to_plotly_trace_kwargs() (in module pysatl_cpd.analysis.visualization.utils) LinearThresholdsRange (class in pysatl_cpd.benchmark.online.noreset.thresholds.ranges) LineSpec (class in pysatl_cpd.analysis.visualization.specs) linestyle (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) linewidth (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) load_folder_csv_dataset() (in module pysatl_cpd.data.loaders.folder_dataset) loc (pysatl_cpd.data.generator.specs.StudentTSpec attribute) low (pysatl_cpd.data.generator.specs.UniformSpec attribute)

M

make_hashable() (in module pysatl_cpd.typedefs.frozendict) ManualThresholdsRange (class in pysatl_cpd.benchmark.online.noreset.thresholds.ranges) marker (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) markersize (pysatl_cpd.analysis.visualization.specs.FilledLineSpec attribute) (pysatl_cpd.analysis.visualization.specs.LineSpec attribute) match() (in module pysatl_cpd.analysis.metrics.utils) (pysatl_cpd.analysis.metrics.single_run.classification.base.ClassificationMetricBase method) match_change_points() (in module pysatl_cpd.analysis.metrics.single_run.utils) MATPLOTLIB (pysatl_cpd.analysis.visualization.typedefs.DrawBackend attribute) max_threshold (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneResult attribute) MaxRunLengthCPF (class in pysatl_cpd.algorithms.online.bayesian.component.cpf.max_run_length) mean (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState attribute) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.EstimatesGaussianMLE attribute) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.GaussianMLESchema property) (pysatl_cpd.data.generator.specs.NormalSpec attribute) mean_color (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) mean_label (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) mean_linewidth (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) MeanDelayMetric (class in pysatl_cpd.analysis.metrics.multiple_run.online.delay) means (pysatl_cpd.data.generator.specs.MultivariateNormalSpec attribute) MedianDelayMetric (class in pysatl_cpd.analysis.metrics.multiple_run.online.delay) merge() (pysatl_cpd.data.dataset.idataset.IDataset method) (pysatl_cpd.data.providers.data_provider.DataProvider class method) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData class method) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling class method) (pysatl_cpd.data.providers.plain.np_multivariate.NDArrayMultivariateProvider class method) (pysatl_cpd.data.providers.plain.np_univariate.NDArrayUnivariateProvider class method) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider class method) metadata (pysatl_cpd.data.generator.models.GeneratedSegment attribute) (pysatl_cpd.data.generator.models.GeneratedSeries attribute) (pysatl_cpd.data.generator.segments.models.GeneratedSegment attribute) (pysatl_cpd.data.generator.specs.ScenarioSpec attribute) (pysatl_cpd.data.generator.specs.SegmentPlan attribute) (pysatl_cpd.data.typedefs.annotations.BisegmentAnnotation attribute) (pysatl_cpd.data.typedefs.annotations.TimeseriesAnnotation attribute) metric (pysatl_cpd.benchmark.online.reset.scenarios.OnlineResetWholeTimeseriesMetricScenario attribute) MetricPlotName (in module pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter) MetricVisualizerName (in module pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter) min_threshold (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneResult attribute) MIXED (pysatl_cpd.benchmark.online.noreset.policy_kind.NoResetPolicyKind attribute) MixedPolicy (class in pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment) module pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate pysatl_cpd.algorithms.online.bayesian.component.cpf.drop pysatl_cpd.algorithms.online.bayesian.component.cpf.max_run_length pysatl_cpd.algorithms.online.bayesian.component.hazard.constant pysatl_cpd.algorithms.online.bayesian.component.likelihood.gaussian_conjugate pysatl_cpd.algorithms.online.bayesian.protocol.cpf pysatl_cpd.algorithms.online.bayesian.protocol.hazard pysatl_cpd.algorithms.online.bayesian.protocol.likelihood pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer pysatl_cpd.algorithms.online.cusum.abstracts.changepoint_func pysatl_cpd.algorithms.online.cusum.abstracts.estimator pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum pysatl_cpd.algorithms.online.cusum.abstracts.monitoring pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum pysatl_cpd.algorithms.online.cusum.component.cpf.crosier pysatl_cpd.algorithms.online.cusum.component.cpf.page pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian_arm pysatl_cpd.algorithms.online.cusum.component.monitoring.variance pysatl_cpd.analysis.metrics.abstracts.imultiple_run_metric pysatl_cpd.analysis.metrics.abstracts.isingle_run_metric pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric pysatl_cpd.analysis.metrics.multiple_run.classification.base pysatl_cpd.analysis.metrics.multiple_run.classification.fmeasure pysatl_cpd.analysis.metrics.multiple_run.classification.precision pysatl_cpd.analysis.metrics.multiple_run.classification.recall pysatl_cpd.analysis.metrics.multiple_run.classification.report pysatl_cpd.analysis.metrics.multiple_run.derived_metric pysatl_cpd.analysis.metrics.multiple_run.online.arl pysatl_cpd.analysis.metrics.multiple_run.online.delay pysatl_cpd.analysis.metrics.single_run.classification.base pysatl_cpd.analysis.metrics.single_run.classification.fn_metric pysatl_cpd.analysis.metrics.single_run.classification.fp_metric pysatl_cpd.analysis.metrics.single_run.classification.tp_metric pysatl_cpd.analysis.metrics.single_run.online.delays pysatl_cpd.analysis.metrics.single_run.online.run_lengths pysatl_cpd.analysis.metrics.single_run.utils pysatl_cpd.analysis.metrics.utils pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer pysatl_cpd.analysis.visualization.abstracts.itimeseries_visualizer pysatl_cpd.analysis.visualization.abstracts.itrace_visualizer pysatl_cpd.analysis.visualization.abstracts.ivisual_component pysatl_cpd.analysis.visualization.abstracts.ivisualizer pysatl_cpd.analysis.visualization.benchmarking.metrics.arl_based_metric_visualizer pysatl_cpd.analysis.visualization.benchmarking.metrics.pr_auc_visualizer pysatl_cpd.analysis.visualization.benchmarking.metrics.threshold_based_metric_visualizer pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter pysatl_cpd.analysis.visualization.components.vert_fill pysatl_cpd.analysis.visualization.components.vert_line pysatl_cpd.analysis.visualization.online.online_trace_visualizer pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts pysatl_cpd.analysis.visualization.online.states.ionline_state_visualizer pysatl_cpd.analysis.visualization.online.states.state_dummy_visualizer pysatl_cpd.analysis.visualization.specs pysatl_cpd.analysis.visualization.timeseries.abstract_multivariate_timeseries_visualizer pysatl_cpd.analysis.visualization.timeseries.multivariate_timeseries_visualizer pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer pysatl_cpd.analysis.visualization.typedefs pysatl_cpd.analysis.visualization.utils pysatl_cpd.benchmark.benchmark pysatl_cpd.benchmark.online.noreset.benchmark pysatl_cpd.benchmark.online.noreset.detector.noreset_detector pysatl_cpd.benchmark.online.noreset.detector.noreset_trace pysatl_cpd.benchmark.online.noreset.entry pysatl_cpd.benchmark.online.noreset.metrics.base pysatl_cpd.benchmark.online.noreset.metrics.classification pysatl_cpd.benchmark.online.noreset.metrics.online pysatl_cpd.benchmark.online.noreset.metrics.policy.base pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment pysatl_cpd.benchmark.online.noreset.metrics.policy.nochange pysatl_cpd.benchmark.online.noreset.policy_kind pysatl_cpd.benchmark.online.noreset.scenarios.base pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table pysatl_cpd.benchmark.online.noreset.scenarios.state_arl pysatl_cpd.benchmark.online.noreset.thresholds.ranges pysatl_cpd.benchmark.online.noreset.thresholds.resolver pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base pysatl_cpd.benchmark.online.noreset.tooling.analyzers.classification_table pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment pysatl_cpd.benchmark.online.noreset.tooling.analyzers.state_arl pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut pysatl_cpd.benchmark.online.noreset.tooling.pickers pysatl_cpd.benchmark.online.reset.benchmark pysatl_cpd.benchmark.online.reset.entry pysatl_cpd.benchmark.online.reset.scenarios pysatl_cpd.benchmark.registry pysatl_cpd.benchmark.scenarios pysatl_cpd.benchmark.tooling pysatl_cpd.core.change_point_detector pysatl_cpd.core.detection_trace pysatl_cpd.core.online.detectors.online_detection_trace pysatl_cpd.core.online.detectors.online_detector pysatl_cpd.core.online.detectors.reset_detector pysatl_cpd.core.online.ionline_algorithm pysatl_cpd.core.online.wrappers.online_wrappers pysatl_cpd.core.single_run pysatl_cpd.data.dataset.dataset pysatl_cpd.data.dataset.idataset pysatl_cpd.data.dataset.state_dataset pysatl_cpd.data.generator.config pysatl_cpd.data.generator.dataset pysatl_cpd.data.generator.models pysatl_cpd.data.generator.presets pysatl_cpd.data.generator.providers.np_provider pysatl_cpd.data.generator.providers.pd_provider pysatl_cpd.data.generator.segments.interface pysatl_cpd.data.generator.segments.models pysatl_cpd.data.generator.segments.sampling pysatl_cpd.data.generator.series pysatl_cpd.data.generator.specs pysatl_cpd.data.loaders.folder_dataset pysatl_cpd.data.providers.data_provider pysatl_cpd.data.providers.labeled.implementations.np_multivariate pysatl_cpd.data.providers.labeled.implementations.np_univariate pysatl_cpd.data.providers.labeled.implementations.pd_provider pysatl_cpd.data.providers.labeled.labeled_data pysatl_cpd.data.providers.labeled.segments_labeling pysatl_cpd.data.providers.plain.np_multivariate pysatl_cpd.data.providers.plain.np_univariate pysatl_cpd.data.providers.plain.pd_provider pysatl_cpd.data.providers.transformers.base pysatl_cpd.data.providers.transformers.columns pysatl_cpd.data.typedefs.annotations pysatl_cpd.data.typedefs.filters pysatl_cpd.data.typedefs.provider pysatl_cpd.data.typedefs.segment pysatl_cpd.typedefs.base pysatl_cpd.typedefs.frozendict

monitoring_schema (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) mu_params (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDState attribute) MultivariateNormalSpec (class in pysatl_cpd.data.generator.specs) MultivariateNumericArray (in module pysatl_cpd.typedefs.base) MultivariateTimeseriesVisualizer (in module pysatl_cpd.analysis.visualization.timeseries.multivariate_timeseries_visualizer)

N

n_jobs (pysatl_cpd.benchmark.benchmark.Benchmark property) name (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.AbstractBayesian property) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPD property) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCUSUM property) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusum property) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusum property) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCUSUM property) (pysatl_cpd.core.change_point_detector.ChangePointDetectorDescription attribute) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm property) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithmDescription attribute) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchingOnlineAlgorithmWrapper property) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchReducer attribute) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingCondition attribute) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingOnlineAlgorithmWrapper property) (pysatl_cpd.data.generator.models.GeneratedSegment attribute) (pysatl_cpd.data.generator.models.GeneratedSeries attribute) (pysatl_cpd.data.generator.segments.models.GeneratedSegment attribute) (pysatl_cpd.data.generator.specs.ScenarioSpec attribute) (pysatl_cpd.data.generator.specs.SegmentPlan attribute) (pysatl_cpd.data.providers.data_provider.DataProvider property) (pysatl_cpd.data.typedefs.annotations.BisegmentAnnotation attribute) (pysatl_cpd.data.typedefs.annotations.TimeseriesAnnotation attribute) NDArrayMultivariateProvider (class in pysatl_cpd.data.providers.plain.np_multivariate) NDArrayUnivariateProvider (class in pysatl_cpd.data.providers.plain.np_univariate) next_state (pysatl_cpd.data.typedefs.segment.TransitionDescriptor attribute) NO_CHANGE (pysatl_cpd.data.typedefs.provider.ProviderType attribute) NoChangePolicy (class in pysatl_cpd.benchmark.online.noreset.metrics.policy.nochange) NoChangeSeriesAnnotation (class in pysatl_cpd.data.typedefs.annotations) noise_variance (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.EstimatesGaussianAR attribute) NoResetAnalyzerBase (class in pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base) NoResetArlAnalyzer (class in pysatl_cpd.benchmark.online.noreset.tooling.analyzers.state_arl)

NoResetArlByStateScenario (class in pysatl_cpd.benchmark.online.noreset.scenarios.state_arl) NoResetARLMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.online) NoResetBenchmarkScenario (class in pysatl_cpd.benchmark.online.noreset.scenarios.base) NoResetBisegmentAnalyzer (class in pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment) NoResetBisegmentsTableScenario (class in pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table) NoResetBisigementClassificationMixin (class in pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base) NoResetClassificationReport (class in pysatl_cpd.benchmark.online.noreset.metrics.classification) NoResetClassificationTableAnalyzer (class in pysatl_cpd.benchmark.online.noreset.tooling.analyzers.classification_table) NoResetClassificationTableByTransitionScenario (class in pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition) NoResetClassificationTableScenario (class in pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global) NoResetDerivedMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.base) NoResetDetectionTrace (class in pysatl_cpd.benchmark.online.noreset.detector.noreset_trace) NoResetF1Metric (class in pysatl_cpd.benchmark.online.noreset.metrics.classification) NoResetMeanDelayMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.online) NoResetMedianDelayMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.online) NoResetMultipleRunMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.base) NoResetOnlineDetector (class in pysatl_cpd.benchmark.online.noreset.detector.noreset_detector) NoResetPolicy (class in pysatl_cpd.benchmark.online.noreset.metrics.policy.base) NoResetPolicyKind (class in pysatl_cpd.benchmark.online.noreset.policy_kind) NoResetPrecisionMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.classification) NoResetRecallMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.classification) NoResetSingleRunMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.base) NoResetThresholdMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.base) NoResetThresholdResolver (class in pysatl_cpd.benchmark.online.noreset.thresholds.resolver) NoResetTotalFNMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.classification) NoResetTotalFPMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.classification) NoResetTotalTPMetric (class in pysatl_cpd.benchmark.online.noreset.metrics.classification) normalize_backend() (in module pysatl_cpd.analysis.visualization.utils) NormalSpec (class in pysatl_cpd.data.generator.specs) Number (in module pysatl_cpd.typedefs.base) NumericArray (in module pysatl_cpd.typedefs.base) NumPyNumber (in module pysatl_cpd.typedefs.base)

O

OnlineAlgorithm (class in pysatl_cpd.core.online.ionline_algorithm) OnlineAlgorithmConfiguration (class in pysatl_cpd.core.online.ionline_algorithm) OnlineAlgorithmDescription (class in pysatl_cpd.core.online.ionline_algorithm) OnlineAlgorithmState (class in pysatl_cpd.core.online.ionline_algorithm) OnlineCpdPlotter (class in pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter) OnlineDetectionStepResult (class in pysatl_cpd.core.online.detectors.online_detection_trace) OnlineDetectionTrace (class in pysatl_cpd.core.online.detectors.online_detection_trace) OnlineDetector (class in pysatl_cpd.core.online.detectors.online_detector) OnlineNoResetBenchmark (class in pysatl_cpd.benchmark.online.noreset.benchmark) OnlineNoResetBenchmarkEntry (class in pysatl_cpd.benchmark.online.noreset.entry)

OnlineNoResetBisegmentByTransitionPicker (class in pysatl_cpd.benchmark.online.noreset.tooling.pickers) OnlineNoResetEntryAlgorithmPicker (class in pysatl_cpd.benchmark.online.noreset.tooling.pickers) OnlineNoResetNoChangeByStatePicker (class in pysatl_cpd.benchmark.online.noreset.tooling.pickers) OnlineResetBenchmark (class in pysatl_cpd.benchmark.online.reset.benchmark) OnlineResetBenchmarkEntry (class in pysatl_cpd.benchmark.online.reset.entry) OnlineResetDetector (class in pysatl_cpd.core.online.detectors.reset_detector) OnlineResetWholeTimeseriesMetricScenario (class in pysatl_cpd.benchmark.online.reset.scenarios) OnlineTraceVisualizer (class in pysatl_cpd.analysis.visualization.online.online_trace_visualizer) ordered_axes (pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer.PlainMultivariateTimeseriesVisualizer property) (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer property)

P

PageTwoSidedCusum (class in pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum) PageTwoSidedCusumConfiguration (class in pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum) PageTwoSidedCusumState (class in pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum) PandasDataProvider (class in pysatl_cpd.data.providers.plain.pd_provider) PandasLabeledData (class in pysatl_cpd.data.providers.labeled.implementations.pd_provider) parameters (pysatl_cpd.core.change_point_detector.ChangePointDetectorDescription attribute) parse() (pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut.BisegmentCut class method) parse_distribution_spec() (in module pysatl_cpd.data.generator.config) pick() (pysatl_cpd.benchmark.online.noreset.tooling.pickers.OnlineNoResetBisegmentByTransitionPicker method) (pysatl_cpd.benchmark.online.noreset.tooling.pickers.OnlineNoResetEntryAlgorithmPicker method) (pysatl_cpd.benchmark.online.noreset.tooling.pickers.OnlineNoResetNoChangeByStatePicker method) (pysatl_cpd.benchmark.tooling.BenchmarkEntriesPicker method) pick_runs() (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base.NoResetAnalyzerBase method) PlainMultivariateLabeledData (class in pysatl_cpd.data.providers.labeled.implementations.np_multivariate) PlainMultivariateTimeseriesVisualizer (class in pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer) PlainUnivariateLabeledData (class in pysatl_cpd.data.providers.labeled.implementations.np_univariate) plan_name (pysatl_cpd.data.generator.specs.SegmentSpec attribute) plans (pysatl_cpd.data.generator.specs.ScenarioSpec attribute) PLOTLY (pysatl_cpd.analysis.visualization.typedefs.DrawBackend attribute) PlotSpec (class in pysatl_cpd.analysis.visualization.specs) PltAxes (in module pysatl_cpd.analysis.visualization.typedefs) PltAxMapping (in module pysatl_cpd.analysis.visualization.typedefs) PltFigure (in module pysatl_cpd.analysis.visualization.typedefs) POINT (pysatl_cpd.benchmark.online.noreset.policy_kind.NoResetPolicyKind attribute) PointBasedPolicy (class in pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment) policy_from_report_base() (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment.NoResetBisegmentAnalyzer static method) policy_from_report_derived() (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment.NoResetBisegmentAnalyzer static method) PrAucVisualizer (class in pysatl_cpd.analysis.visualization.benchmarking.metrics.pr_auc_visualizer) precision (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneResult attribute) PrecisionMetric (class in pysatl_cpd.analysis.metrics.multiple_run.classification.precision) predict() (pysatl_cpd.algorithms.online.bayesian.component.likelihood.gaussian_conjugate.GaussianConjugate method) (pysatl_cpd.algorithms.online.bayesian.protocol.likelihood.ILikelihood method) prepare() (pysatl_cpd.benchmark.tooling.BenchmarkEntriesPreparator method) prepare_benchmark_jobs() (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global.NoResetClassificationTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition.NoResetClassificationTableByTransitionScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table.NoResetBisegmentsTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.state_arl.NoResetArlByStateScenario method) (pysatl_cpd.benchmark.online.reset.scenarios.OnlineResetWholeTimeseriesMetricScenario method) (pysatl_cpd.benchmark.scenarios.BenchmarkScenario method) preset_dataset() (in module pysatl_cpd.data.generator.presets) prior_alpha (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDConfiguration attribute) prior_beta (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDConfiguration attribute) prior_k (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDConfiguration attribute) prior_mu (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPDConfiguration attribute) process() (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.AbstractBayesian method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChart method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM method) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCUSUM method) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCUSUM method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm method) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchingOnlineAlgorithmWrapper method) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingOnlineAlgorithmWrapper method) processing_time (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult attribute) (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) provider (pysatl_cpd.core.single_run.SingleRun attribute) provider_description (pysatl_cpd.core.single_run.SingleRunDescription attribute) provider_type (pysatl_cpd.data.typedefs.annotations.BisegmentAnnotation property) (pysatl_cpd.data.typedefs.annotations.NoChangeSeriesAnnotation property) (pysatl_cpd.data.typedefs.annotations.SegmentAnnotation property) (pysatl_cpd.data.typedefs.annotations.TimeseriesAnnotation property) (pysatl_cpd.data.typedefs.annotations.UnlabeledTimeseriesAnnotation property) providers (pysatl_cpd.benchmark.scenarios.BenchmarkJob attribute) ProviderType (class in pysatl_cpd.data.typedefs.provider) pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian module pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate module pysatl_cpd.algorithms.online.bayesian.component.cpf.drop module pysatl_cpd.algorithms.online.bayesian.component.cpf.max_run_length module pysatl_cpd.algorithms.online.bayesian.component.hazard.constant module pysatl_cpd.algorithms.online.bayesian.component.likelihood.gaussian_conjugate module pysatl_cpd.algorithms.online.bayesian.protocol.cpf module pysatl_cpd.algorithms.online.bayesian.protocol.hazard module pysatl_cpd.algorithms.online.bayesian.protocol.likelihood module pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart module pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer module pysatl_cpd.algorithms.online.cusum.abstracts.changepoint_func module pysatl_cpd.algorithms.online.cusum.abstracts.estimator module pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum module pysatl_cpd.algorithms.online.cusum.abstracts.monitoring module pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum module pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum module pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum module pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum module pysatl_cpd.algorithms.online.cusum.component.cpf.crosier module pysatl_cpd.algorithms.online.cusum.component.cpf.page module pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar module pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle module pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian module pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian_arm module pysatl_cpd.algorithms.online.cusum.component.monitoring.variance module pysatl_cpd.analysis.metrics.abstracts.imultiple_run_metric module pysatl_cpd.analysis.metrics.abstracts.isingle_run_metric module pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric module pysatl_cpd.analysis.metrics.multiple_run.classification.base module pysatl_cpd.analysis.metrics.multiple_run.classification.fmeasure module pysatl_cpd.analysis.metrics.multiple_run.classification.precision module pysatl_cpd.analysis.metrics.multiple_run.classification.recall module pysatl_cpd.analysis.metrics.multiple_run.classification.report module pysatl_cpd.analysis.metrics.multiple_run.derived_metric module pysatl_cpd.analysis.metrics.multiple_run.online.arl module pysatl_cpd.analysis.metrics.multiple_run.online.delay module pysatl_cpd.analysis.metrics.single_run.classification.base module pysatl_cpd.analysis.metrics.single_run.classification.fn_metric module pysatl_cpd.analysis.metrics.single_run.classification.fp_metric module pysatl_cpd.analysis.metrics.single_run.classification.tp_metric module pysatl_cpd.analysis.metrics.single_run.online.delays module pysatl_cpd.analysis.metrics.single_run.online.run_lengths module pysatl_cpd.analysis.metrics.single_run.utils module pysatl_cpd.analysis.metrics.utils module pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer module pysatl_cpd.analysis.visualization.abstracts.itimeseries_visualizer module pysatl_cpd.analysis.visualization.abstracts.itrace_visualizer module pysatl_cpd.analysis.visualization.abstracts.ivisual_component module pysatl_cpd.analysis.visualization.abstracts.ivisualizer module pysatl_cpd.analysis.visualization.benchmarking.metrics.arl_based_metric_visualizer module pysatl_cpd.analysis.visualization.benchmarking.metrics.pr_auc_visualizer module pysatl_cpd.analysis.visualization.benchmarking.metrics.threshold_based_metric_visualizer module pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter module

pysatl_cpd.analysis.visualization.components.vert_fill module pysatl_cpd.analysis.visualization.components.vert_line module pysatl_cpd.analysis.visualization.online.online_trace_visualizer module pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter module pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts module pysatl_cpd.analysis.visualization.online.states.ionline_state_visualizer module pysatl_cpd.analysis.visualization.online.states.state_dummy_visualizer module pysatl_cpd.analysis.visualization.specs module pysatl_cpd.analysis.visualization.timeseries.abstract_multivariate_timeseries_visualizer module pysatl_cpd.analysis.visualization.timeseries.multivariate_timeseries_visualizer module pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer module pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer module pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer module pysatl_cpd.analysis.visualization.typedefs module pysatl_cpd.analysis.visualization.utils module pysatl_cpd.benchmark.benchmark module pysatl_cpd.benchmark.online.noreset.benchmark module pysatl_cpd.benchmark.online.noreset.detector.noreset_detector module pysatl_cpd.benchmark.online.noreset.detector.noreset_trace module pysatl_cpd.benchmark.online.noreset.entry module pysatl_cpd.benchmark.online.noreset.metrics.base module pysatl_cpd.benchmark.online.noreset.metrics.classification module pysatl_cpd.benchmark.online.noreset.metrics.online module pysatl_cpd.benchmark.online.noreset.metrics.policy.base module pysatl_cpd.benchmark.online.noreset.metrics.policy.bisegment module pysatl_cpd.benchmark.online.noreset.metrics.policy.nochange module pysatl_cpd.benchmark.online.noreset.policy_kind module pysatl_cpd.benchmark.online.noreset.scenarios.base module pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global module pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition module pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table module pysatl_cpd.benchmark.online.noreset.scenarios.state_arl module pysatl_cpd.benchmark.online.noreset.thresholds.ranges module pysatl_cpd.benchmark.online.noreset.thresholds.resolver module pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base module pysatl_cpd.benchmark.online.noreset.tooling.analyzers.classification_table module pysatl_cpd.benchmark.online.noreset.tooling.analyzers.individual_bisegment module pysatl_cpd.benchmark.online.noreset.tooling.analyzers.state_arl module pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut module pysatl_cpd.benchmark.online.noreset.tooling.pickers module pysatl_cpd.benchmark.online.reset.benchmark module pysatl_cpd.benchmark.online.reset.entry module pysatl_cpd.benchmark.online.reset.scenarios module pysatl_cpd.benchmark.registry module pysatl_cpd.benchmark.scenarios module pysatl_cpd.benchmark.tooling module pysatl_cpd.core.change_point_detector module pysatl_cpd.core.detection_trace module pysatl_cpd.core.online.detectors.online_detection_trace module pysatl_cpd.core.online.detectors.online_detector module pysatl_cpd.core.online.detectors.reset_detector module pysatl_cpd.core.online.ionline_algorithm module pysatl_cpd.core.online.wrappers.online_wrappers module pysatl_cpd.core.single_run module pysatl_cpd.data.dataset.dataset module pysatl_cpd.data.dataset.idataset module pysatl_cpd.data.dataset.state_dataset module pysatl_cpd.data.generator.config module pysatl_cpd.data.generator.dataset module pysatl_cpd.data.generator.models module pysatl_cpd.data.generator.presets module pysatl_cpd.data.generator.providers.np_provider module pysatl_cpd.data.generator.providers.pd_provider module pysatl_cpd.data.generator.segments.interface module pysatl_cpd.data.generator.segments.models module pysatl_cpd.data.generator.segments.sampling module pysatl_cpd.data.generator.series module pysatl_cpd.data.generator.specs module pysatl_cpd.data.loaders.folder_dataset module pysatl_cpd.data.providers.data_provider module pysatl_cpd.data.providers.labeled.implementations.np_multivariate module pysatl_cpd.data.providers.labeled.implementations.np_univariate module pysatl_cpd.data.providers.labeled.implementations.pd_provider module pysatl_cpd.data.providers.labeled.labeled_data module pysatl_cpd.data.providers.labeled.segments_labeling module pysatl_cpd.data.providers.plain.np_multivariate module pysatl_cpd.data.providers.plain.np_univariate module pysatl_cpd.data.providers.plain.pd_provider module pysatl_cpd.data.providers.transformers.base module pysatl_cpd.data.providers.transformers.columns module pysatl_cpd.data.typedefs.annotations module pysatl_cpd.data.typedefs.filters module pysatl_cpd.data.typedefs.provider module pysatl_cpd.data.typedefs.segment module pysatl_cpd.typedefs.base module pysatl_cpd.typedefs.frozendict module

Q

query_bisegments() (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData method) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling method)

query_segments() (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData method) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling method)

R

raw_data (pysatl_cpd.data.providers.labeled.implementations.np_multivariate.PlainMultivariateLabeledData property) (pysatl_cpd.data.providers.labeled.implementations.np_univariate.PlainUnivariateLabeledData property) (pysatl_cpd.data.providers.plain.np_multivariate.NDArrayMultivariateProvider property) (pysatl_cpd.data.providers.plain.np_univariate.NDArrayUnivariateProvider property) recall (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneResult attribute) RecallMetric (class in pysatl_cpd.analysis.metrics.multiple_run.classification.recall) recreate() (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.AbstractBayesian method) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPD method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChart method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm method) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchingOnlineAlgorithmWrapper method) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingOnlineAlgorithmWrapper method) reducer (pysatl_cpd.core.online.wrappers.online_wrappers.BatchReducer attribute) registry (pysatl_cpd.benchmark.benchmark.Benchmark property) (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base.NoResetAnalyzerBase property) remove_component() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) required_axes (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter property) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.CustomLayout property) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.DashboardLayout property) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.DashboardLiteLayout property) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.ILayoutStrategy property) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.SplitLayout property) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts.VerticalLayout property) requirements (pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer.IMetricVisualizer property) (pysatl_cpd.analysis.visualization.benchmarking.metrics.arl_based_metric_visualizer.ARLBasedMetricVisualizer property) (pysatl_cpd.analysis.visualization.benchmarking.metrics.pr_auc_visualizer.PrAucVisualizer property) (pysatl_cpd.analysis.visualization.benchmarking.metrics.threshold_based_metric_visualizer.ThresholdBasedMetricVisualizer property) (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter property)

reset() (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.AbstractBayesian method) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChart method) (pysatl_cpd.algorithms.online.cusum.abstracts.changepoint_func.ICusumChangepointFunc method) (pysatl_cpd.algorithms.online.cusum.abstracts.estimator.IEstimatingSchema method) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM method) (pysatl_cpd.algorithms.online.cusum.abstracts.monitoring.IMonitoringSchema method) (pysatl_cpd.algorithms.online.cusum.component.cpf.crosier.ChangepointFuncCrosierCUSUM method) (pysatl_cpd.algorithms.online.cusum.component.cpf.page.ChangepointFuncUnivariatePageCUSUM method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.GaussianARSchema method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.GaussianMLESchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian.GaussianMonitoringSchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.gaussian_arm.GaussianARMonitoringSchema method) (pysatl_cpd.algorithms.online.cusum.component.monitoring.variance.VarianceMonitoringSchema method) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm method) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchingOnlineAlgorithmWrapper method) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingOnlineAlgorithmWrapper method) residual() (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM method) resolve_arl_thresholds() (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.NoResetThresholdResolver method) resolve_classification_thresholds() (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.NoResetThresholdResolver method) resolve_legend_group() (in module pysatl_cpd.analysis.visualization.utils) resolve_legend_label() (in module pysatl_cpd.analysis.visualization.utils) resolve_legend_visibility() (in module pysatl_cpd.analysis.visualization.utils) rgba_color() (in module pysatl_cpd.analysis.visualization.utils) RichMultivariateTimeseriesVisualizer (class in pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer) right_trim (pysatl_cpd.benchmark.online.noreset.detector.noreset_detector.NoResetOnlineDetector property) (pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut.BisegmentCut attribute) run_length_log_posterior (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.BayesianOnlineCPDState attribute) run_scenario() (pysatl_cpd.benchmark.benchmark.Benchmark method) RunLengths (class in pysatl_cpd.analysis.metrics.single_run.online.run_lengths)

S

sample_distribution() (in module pysatl_cpd.data.generator.segments.sampling) sample_univariate_distribution() (in module pysatl_cpd.data.generator.segments.sampling) samples_count (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState attribute) scale (pysatl_cpd.data.generator.specs.ExponentialSpec attribute) (pysatl_cpd.data.generator.specs.StudentTSpec attribute) scenario_from_mapping() (in module pysatl_cpd.data.generator.config) scenario_from_yaml() (in module pysatl_cpd.data.generator.config) ScenarioDatasetGenerator (class in pysatl_cpd.data.generator.dataset) scenarios (pysatl_cpd.data.generator.dataset.ScenarioDatasetGenerator property) scenarios_from_yaml() (in module pysatl_cpd.data.generator.config) ScenarioSpec (class in pysatl_cpd.data.generator.specs) SEGMENT (pysatl_cpd.data.typedefs.provider.ProviderType attribute) segment_end (pysatl_cpd.data.typedefs.segment.SegmentInfo attribute) segment_info (pysatl_cpd.data.generator.models.GeneratedSegment attribute) (pysatl_cpd.data.generator.segments.models.GeneratedSegment attribute) segment_num (pysatl_cpd.data.typedefs.segment.SegmentInfo attribute) segment_num_column (pysatl_cpd.data.loaders.folder_dataset.FolderCsvColumns attribute) segment_start (pysatl_cpd.data.typedefs.segment.SegmentInfo attribute) SegmentAnnotation (class in pysatl_cpd.data.typedefs.annotations) SegmentFilter (in module pysatl_cpd.data.typedefs.filters) SegmentGenerator (class in pysatl_cpd.data.generator.segments.interface) SegmentInfo (class in pysatl_cpd.data.typedefs.segment) SegmentPlan (class in pysatl_cpd.data.generator.specs) segments (pysatl_cpd.data.generator.models.GeneratedSeries attribute) (pysatl_cpd.data.generator.specs.ScenarioSpec attribute) segments_labeling (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData property) SegmentsLabeling (class in pysatl_cpd.data.providers.labeled.segments_labeling) SegmentSpec (class in pysatl_cpd.data.generator.specs) SegmentState (in module pysatl_cpd.benchmark.online.noreset.benchmark) select_columns() (pysatl_cpd.data.providers.labeled.implementations.pd_provider.PandasLabeledData method) (pysatl_cpd.data.providers.plain.pd_provider.PandasDataProvider method) set_band_opts() (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateVisualizer method) set_benchmark_tables() (pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer.IMetricVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter method) set_classification_report() (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global.NoResetClassificationTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition.NoResetClassificationTableByTransitionScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table.NoResetBisegmentsTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.state_arl.NoResetArlByStateScenario method) set_data_provider() (pysatl_cpd.analysis.visualization.abstracts.itimeseries_visualizer.ITimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) (pysatl_cpd.analysis.visualization.timeseries.abstract_multivariate_timeseries_visualizer.AbstractMultivariateTimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer.UnivariateTimeseriesVisualizer method) set_detection_func_draw_opts() (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method) set_detection_func_plot_opts() (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method) set_detection_trace() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) set_draw_opts() (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer.PlainMultivariateTimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer.UnivariateTimeseriesVisualizer method) set_entry_draw_opts() (pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer.IMetricVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter method) set_entry_metric_draw_opts() (pysatl_cpd.analysis.visualization.abstracts.imetric_visualizer.IMetricVisualizer method) (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter method) set_ground_truth() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) set_layout() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) set_legend_axis() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) set_lines() (pysatl_cpd.analysis.visualization.components.vert_line.VerticalLineVisualComponent method) set_metrics() (pysatl_cpd.analysis.visualization.benchmarking.plotters.benchmark_plotter.BenchmarkPlotter method) set_plot_opts() (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.plain_multivariate_timeseries_visualizer.PlainMultivariateTimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer method) (pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer.UnivariateTimeseriesVisualizer method) set_processing_time_draw_opts() (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method) set_processing_time_plot_opts() (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method)

set_regions() (pysatl_cpd.analysis.visualization.components.vert_fill.VerticalFillComponent method) set_registry() (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_global.NoResetClassificationTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition.NoResetClassificationTableByTransitionScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.individual_bisegments_table.NoResetBisegmentsTableScenario method) (pysatl_cpd.benchmark.online.noreset.scenarios.state_arl.NoResetArlByStateScenario method) set_series_opts() (pysatl_cpd.analysis.visualization.timeseries.rich_multivariate_timeseries_visualizer.RichMultivariateTimeseriesVisualizer method) set_state_visualizer() (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method) set_states() (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateVisualizer method) (pysatl_cpd.analysis.visualization.online.states.ionline_state_visualizer.IOnlineStateVisualizer method) (pysatl_cpd.analysis.visualization.online.states.state_dummy_visualizer.DummyStateVisualizer method) set_style() (pysatl_cpd.analysis.visualization.components.vert_fill.VerticalFillComponent method) (pysatl_cpd.analysis.visualization.components.vert_line.VerticalLineVisualComponent method) set_threshold_draw_opts() (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method) set_time_column() (pysatl_cpd.analysis.visualization.timeseries.abstract_multivariate_timeseries_visualizer.AbstractMultivariateTimeseriesVisualizer method) set_timeseries_visualizer() (pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter.OnlineCpdPlotter method) set_trace() (pysatl_cpd.analysis.visualization.abstracts.itrace_visualizer.ITraceVisualizer method) (pysatl_cpd.analysis.visualization.online.online_trace_visualizer.OnlineTraceVisualizer method) ShewhartControlChart (class in pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart) ShewhartControlChartConfiguration (class in pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart) ShewhartControlChartState (class in pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart) ShewhartStateBandOpts (class in pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer) ShewhartStateDrawOpts (class in pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer) ShewhartStatePlotOpts (class in pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer) ShewhartStateVisualizer (class in pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer) signal_change_points (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) SingleRun (class in pysatl_cpd.core.single_run) SingleRunDescription (class in pysatl_cpd.core.single_run) skip_periods (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) SkippingCondition (class in pysatl_cpd.core.online.wrappers.online_wrappers) SkippingOnlineAlgorithmWrapper (class in pysatl_cpd.core.online.wrappers.online_wrappers) source (pysatl_cpd.data.typedefs.annotations.BisegmentAnnotation attribute) (pysatl_cpd.data.typedefs.annotations.TimeseriesAnnotation attribute) SplitLayout (class in pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts) stable_hash() (in module pysatl_cpd.typedefs.frozendict) standard_deviation (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState property) start (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.LinearThresholdsRange attribute) state (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.AbstractBayesian property) (pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate.UnivariateGaussianConjugateBOCPD property) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChart property) (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUM property) (pysatl_cpd.algorithms.online.cusum.algorithm.autoregressive_cusum.AutoregressiveCUSUM property) (pysatl_cpd.algorithms.online.cusum.algorithm.crosier_cusum.CrosierCusum property) (pysatl_cpd.algorithms.online.cusum.algorithm.page_cusum.PageTwoSidedCusum property) (pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum.VarianceTwoSidedCUSUM property) (pysatl_cpd.core.online.ionline_algorithm.OnlineAlgorithm property) (pysatl_cpd.core.online.wrappers.online_wrappers.BatchingOnlineAlgorithmWrapper property) (pysatl_cpd.core.online.wrappers.online_wrappers.SkippingOnlineAlgorithmWrapper property) (pysatl_cpd.data.dataset.state_dataset.StateDataset property) (pysatl_cpd.data.generator.specs.SegmentPlan attribute) (pysatl_cpd.data.typedefs.annotations.SegmentAnnotation attribute) (pysatl_cpd.data.typedefs.segment.SegmentInfo attribute) state_checked (pysatl_cpd.benchmark.online.noreset.scenarios.state_arl.NoResetArlByStateScenario property) state_columns (pysatl_cpd.data.loaders.folder_dataset.FolderCsvColumns attribute) StateDataset (class in pysatl_cpd.data.dataset.state_dataset) StateDescriptor (class in pysatl_cpd.data.typedefs.segment) states (pysatl_cpd.data.dataset.idataset.IDataset property) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData property) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling property) StateValue (in module pysatl_cpd.data.typedefs.segment) statistics (pysatl_cpd.algorithms.online.cusum.abstracts.generalized_cusum.GeneralizedCUSUMState attribute) std (pysatl_cpd.data.generator.specs.NormalSpec attribute) step_num (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionStepResult attribute) StudentTSpec (class in pysatl_cpd.data.generator.specs)

T

t (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.BayesianOnlineCPDState attribute) t_max (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneConfig attribute) t_min (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneConfig attribute) threshold (pysatl_cpd.core.online.detectors.online_detection_trace.OnlineDetectionTrace attribute) threshold_count (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneConfig attribute) ThresholdAutoTuneConfig (class in pysatl_cpd.benchmark.online.noreset.thresholds.resolver) ThresholdAutoTuneResult (class in pysatl_cpd.benchmark.online.noreset.thresholds.resolver) ThresholdBasedMetricVisualizer (class in pysatl_cpd.analysis.visualization.benchmarking.metrics.threshold_based_metric_visualizer) thresholds (pysatl_cpd.benchmark.online.noreset.entry.OnlineNoResetBenchmarkEntry attribute) (pysatl_cpd.benchmark.online.noreset.thresholds.resolver.ThresholdAutoTuneResult attribute) thresholds_range (pysatl_cpd.benchmark.online.noreset.thresholds.ranges.ThresholdsRange attribute) ThresholdsRange (class in pysatl_cpd.benchmark.online.noreset.thresholds.ranges) timeseries (pysatl_cpd.data.dataset.idataset.IDataset property) TIMESERIES (pysatl_cpd.data.typedefs.provider.ProviderType attribute) TimeseriesAnnotation (class in pysatl_cpd.data.typedefs.annotations) title (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStatePlotOpts attribute) (pysatl_cpd.analysis.visualization.specs.PlotSpec attribute) to_dataframe() (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling method) to_plotly_color() (in module pysatl_cpd.analysis.visualization.utils) to_plotly_dash() (in module pysatl_cpd.analysis.visualization.utils) to_plotly_marker() (in module pysatl_cpd.analysis.visualization.utils) TotalFN (class in pysatl_cpd.analysis.metrics.multiple_run.classification.base)

TotalFP (class in pysatl_cpd.analysis.metrics.multiple_run.classification.base) TotalMean (class in pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric) TotalMedian (class in pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric) TotalSum (class in pysatl_cpd.analysis.metrics.multiple_run.aggregation_metric) TotalTP (class in pysatl_cpd.analysis.metrics.multiple_run.classification.base) trace (pysatl_cpd.core.single_run.SingleRun attribute) train() (pysatl_cpd.algorithms.online.cusum.abstracts.estimator.IEstimatingSchema method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.GaussianARSchema method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.GaussianMLESchema method) train_test_split() (pysatl_cpd.data.dataset.idataset.IDataset method) transform() (pysatl_cpd.data.providers.transformers.base.ComposedTransformer method) (pysatl_cpd.data.providers.transformers.base.IDataTransformer method) (pysatl_cpd.data.providers.transformers.columns.ColumnFeatureCreator method) (pysatl_cpd.data.providers.transformers.columns.ColumnsSelectorTransformer method) transition (pysatl_cpd.data.typedefs.annotations.BisegmentAnnotation attribute) (pysatl_cpd.data.typedefs.segment.BisegmentInfo attribute) transition_checked (pysatl_cpd.benchmark.online.noreset.scenarios.classification_table_transition.NoResetClassificationTableByTransitionScenario property) TransitionDescriptor (class in pysatl_cpd.data.typedefs.segment) transitions (pysatl_cpd.data.dataset.idataset.IDataset property) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData property) (pysatl_cpd.data.providers.labeled.segments_labeling.SegmentsLabeling property) translate_linestyle() (in module pysatl_cpd.analysis.visualization.utils) TruePositiveCount (class in pysatl_cpd.analysis.metrics.single_run.classification.tp_metric)

U

UniformSpec (class in pysatl_cpd.data.generator.specs) UnivariateDistributionSpec (in module pysatl_cpd.data.generator.specs) UnivariateGaussianConjugateBOCPD (class in pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate) UnivariateGaussianConjugateBOCPDConfiguration (class in pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate) UnivariateGaussianConjugateBOCPDState (class in pysatl_cpd.algorithms.online.bayesian.algorithm.univariate_gaussian_conjugate) UnivariateNumericArray (in module pysatl_cpd.typedefs.base) UnivariateTimeseriesVisualizer (class in pysatl_cpd.analysis.visualization.timeseries.univariate_timeseries_visualizer) unlabeled (pysatl_cpd.data.providers.labeled.implementations.np_multivariate.PlainMultivariateLabeledData property) (pysatl_cpd.data.providers.labeled.implementations.np_univariate.PlainUnivariateLabeledData property) (pysatl_cpd.data.providers.labeled.implementations.pd_provider.PandasLabeledData property) (pysatl_cpd.data.providers.labeled.labeled_data.LabeledData property) UNLABELED (pysatl_cpd.data.typedefs.provider.ProviderType attribute)

UnlabeledTimeseriesAnnotation (class in pysatl_cpd.data.typedefs.annotations) update() (pysatl_cpd.algorithms.online.bayesian.component.likelihood.gaussian_conjugate.GaussianConjugate method) (pysatl_cpd.algorithms.online.bayesian.protocol.likelihood.ILikelihood method) (pysatl_cpd.algorithms.online.cusum.abstracts.changepoint_func.ICusumChangepointFunc method) (pysatl_cpd.algorithms.online.cusum.abstracts.estimator.IEstimatingSchema method) (pysatl_cpd.algorithms.online.cusum.component.cpf.crosier.ChangepointFuncCrosierCUSUM method) (pysatl_cpd.algorithms.online.cusum.component.cpf.page.ChangepointFuncUnivariatePageCUSUM method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_ar.GaussianARSchema method) (pysatl_cpd.algorithms.online.cusum.component.estimator.gaussian_mle.GaussianMLESchema method) (pysatl_cpd.benchmark.registry.BenchmarkRegistry method) upload_registry() (pysatl_cpd.benchmark.benchmark.Benchmark method) (pysatl_cpd.benchmark.registry.BenchmarkRegistry method)

V

validate_arl_runs() (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.state_arl.NoResetArlAnalyzer static method) validate_bisegment_runs() (pysatl_cpd.benchmark.online.noreset.tooling.analyzers.base.NoResetBisigementClassificationMixin static method) validate_error_margin() (in module pysatl_cpd.analysis.metrics.single_run.utils) validate_for_length() (pysatl_cpd.benchmark.online.noreset.tooling.bisegment_cut.BisegmentCut method) value (pysatl_cpd.algorithms.online.cusum.abstracts.changepoint_func.ICusumChangepointFunc property) (pysatl_cpd.algorithms.online.cusum.component.cpf.crosier.ChangepointFuncCrosierCUSUM property) (pysatl_cpd.algorithms.online.cusum.component.cpf.page.ChangepointFuncUnivariatePageCUSUM property) values() (pysatl_cpd.benchmark.registry.BenchmarkRegistry method)

variance (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState attribute) VarianceMonitoringSchema (class in pysatl_cpd.algorithms.online.cusum.component.monitoring.variance) VarianceTwoSidedCUSUM (class in pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum) VarianceTwoSidedCusumConfiguration (class in pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum) VarianceTwoSidedCusumState (class in pysatl_cpd.algorithms.online.cusum.algorithm.variance_cusum) VerticalFillComponent (class in pysatl_cpd.analysis.visualization.components.vert_fill) VerticalLayout (class in pysatl_cpd.analysis.visualization.online.plotters.online_cpd_plotter_layouts) VerticalLineVisualComponent (class in pysatl_cpd.analysis.visualization.components.vert_line)

W

window (pysatl_cpd.algorithms.online.bayesian.algorithm.abstract_bayesian.BayesianOnlineCPDConfiguration attribute) window_contents (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState attribute) window_mean (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState property) window_mean_color (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) window_mean_label (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute) window_mean_linewidth (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStateDrawOpts attribute)

window_size (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartConfiguration attribute) (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState property) window_sum (pysatl_cpd.algorithms.online.control_charts.shewhart_control_chart.ShewhartControlChartState property) wrap_noreset_derived_metric() (in module pysatl_cpd.benchmark.online.noreset.metrics.base) wrap_noreset_multiple_run_metric() (in module pysatl_cpd.benchmark.online.noreset.metrics.base) wrap_noreset_single_run_metric() (in module pysatl_cpd.benchmark.online.noreset.metrics.base)

X

xlabel (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStatePlotOpts attribute) (pysatl_cpd.analysis.visualization.specs.PlotSpec attribute)

Y

ylabel (pysatl_cpd.algorithms.online.control_charts.visualizers.state_shewhart_chart_visualizer.ShewhartStatePlotOpts attribute) (pysatl_cpd.analysis.visualization.specs.PlotSpec attribute)

ylabel_twin (pysatl_cpd.analysis.visualization.specs.PlotSpec attribute)