np_univariate

Plain univariate labeled data provider.

class pysatl_cpd.data.providers.labeled.implementations.np_univariate.PlainUnivariateLabeledData(unlabeled, labeling, annotation)

Bases: LabeledData[Number, AnnotationT], Generic

Labeled data implementation for univariate sequences.

Parameters:

• unlabeled (NDArrayUnivariateProvider[UnlabeledTimeseriesAnnotation]) – Unlabeled data provider for the sequence.

• labeling (Iterable[SegmentInfo]) – Iterable of segment information.

• annotation (TypeVar(AnnotationT, bound= TimeseriesAnnotation)) – Annotation instance for labeling.

__init__(unlabeled, labeling, annotation)

Parameters:

• unlabeled (NDArrayUnivariateProvider[UnlabeledTimeseriesAnnotation])

• labeling (Iterable[SegmentInfo])

• annotation (AnnotationT)

Return type:

None

property unlabeled: NDArrayUnivariateProvider[UnlabeledTimeseriesAnnotation]

Return the underlying unlabeled data provider.

Returns:

The underlying unlabeled data provider.

Return type:

unlabeled

classmethod from_unlabeled_data(unlabeled, segment_info, annotation)

Create labeled data from an unlabeled univariate provider.

Parameters:

• unlabeled (DataProvider[double | int | float, UnlabeledTimeseriesAnnotation]) – Unlabeled provider containing the raw series.

• segment_info (Iterable[SegmentInfo]) – Segment labeling for the series.

• annotation (TypeVar(A, bound= TimeseriesAnnotation)) – Annotation attached to the labeled series.

Returns:

Concrete labeled-data provider built from the inputs.

Return type:

PlainUnivariateLabeledData[TypeVar(A, bound= TimeseriesAnnotation)]

Raises:

TypeError – If unlabeled is not an NDArrayUnivariateProvider.

property raw_data: UnivariateNumericArray

Return a copy of the underlying data array.

Returns:

The underlying numeric data array.

Return type:

raw_data