ltbio.features#

Overview#

Submodules#

Classes#

FeatureExtractor

-

FeatureSelector

-

HRVFeatures

Helper class that provides a standard way to create an ABC using

TimeFeatures

Class with implementation of extraction of of several time features.

Contents#

class ltbio.features.FeatureExtractor(feature_functions: Collection[Callable], name: str = None)#

Bases: ltbio.pipeline.PipelineUnit.SinglePipelineUnit

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ART_PATH = 'resources/pipeline_media/feature_extractor.png'#
PIPELINE_INPUT_LABELS#
PIPELINE_OUTPUT_LABELS#
apply(timeseries: ltbio.biosignals.Timeseries) → Dict[str, ltbio.biosignals.Timeseries]#
class ltbio.features.FeatureSelector(selection_function: Callable[[numpy.ndarray], bool], name: str = None)#

Bases: ltbio.pipeline.PipelineUnit.SinglePipelineUnit

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ART_PATH = 'resources/pipeline_media/feature_selector.png'#
PIPELINE_INPUT_LABELS#
PIPELINE_OUTPUT_LABELS#
apply(features: Dict[str, ltbio.biosignals.Timeseries]) → Dict[str, ltbio.biosignals.Timeseries]#
class ltbio.features.HRVFeatures#

Bases: abc.ABC

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Helper class that provides a standard way to create an ABC using inheritance.

static hr(segment: numpy.ndarray) → float#
static r_indices(segment: numpy.ndarray) → float#
class ltbio.features.TimeFeatures#

Bases: abc.ABC

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Class with implementation of extraction of of several time features.

static deviation(segment: numpy.ndarray) → float#
static mean(segment: numpy.ndarray) → float#
static variance(segment: numpy.ndarray) → float#