pyreal.transformers.TimeSeriesPadder#
- class pyreal.transformers.TimeSeriesPadder(value, length=None, **kwargs)[source]#
A transformer that pads and truncates variable-length time series to equal lengths
- __init__(value, length=None, **kwargs)[source]#
Initializes the transformer
- Parameters:
length (int) – Length to pad/truncate time series sequences to. If none, pad to maximum length in fitting dataset
value (Union[int, float, complex, ndarray, Iterable]) – Object value to pad with
Methods
__init__
(value[, length])Initializes the transformer
data_transform
(x)Reorders and selects the features in x.
fit
(x, **params)Determines the length to pad to if not set
fit_transform
(x, **fit_params)Fits this transformer to data and then transforms the same data
inverse_data_transform
(x_new)Wrapper for inverse_data_transform.
inverse_transform
(x_new)Transforms data x_new from new feature space back into the original feature space.
inverse_transform_explanation
(explanation)Transforms the explanation from the second feature space handled by this transformer to the first.
inverse_transform_explanation_additive_feature_contribution
(...)Inverse transforms additive feature contribution explanations
inverse_transform_explanation_additive_feature_importance
(...)Inverse transforms additive feature importance explanations
inverse_transform_explanation_decision_tree
(...)Inverse transforms decision-tree explanations
inverse_transform_explanation_example
(...)Inverse transforms example-based explanations
inverse_transform_explanation_feature_based
(...)Inverse transforms feature-based explanations
inverse_transform_explanation_feature_contribution
(...)Inverse transforms feature contribution explanations
inverse_transform_explanation_feature_importance
(...)Inverse transforms feature importance explanations
inverse_transform_explanation_similar_example
(...)Inverse transforms similar-example-based explanations
set_flags
([model, interpret, algorithm])transform
(x)Wrapper for data_transform.
transform_explanation
(explanation)Transforms the explanation from the first feature space handled by this transformer to the second.
transform_explanation_additive_feature_contribution
(...)Transforms additive feature contribution explanations
transform_explanation_additive_feature_importance
(...)Transforms additive feature importance explanations
transform_explanation_decision_tree
(explanation)Inverse transforms feature-based explanations
transform_explanation_example
(explanation)Transforms example-based explanations
transform_explanation_feature_based
(explanation)Transforms feature-based explanations
transform_explanation_feature_contribution
(...)Transforms feature contribution explanations
transform_explanation_feature_importance
(...)Transforms feature importance explanations
transform_explanation_similar_example
(...)Transforms example-based explanations