pyreal.transformers.Numpy3dToMultiIndexFrame#
- class pyreal.transformers.Numpy3dToMultiIndexFrame(var_names=None, timestamps=None, **kwargs)[source]#
Convert 3D NumPy array to Pyreal time-series format.
- __init__(var_names=None, timestamps=None, **kwargs)[source]#
Initializes the converter.
- Parameters:
var_names (None or list-like with length of n_variables) – Optional list of names to use for the variables
timestamps (None or list-like with length of n_timepoints) – Optional time series index of returned DataFrame
Methods
__init__
([var_names, timestamps])Initializes the converter.
data_transform
(x)Converts input data into a DataFrame with MultiIndex column
fit
(x)Check if the input data is a 3D NumPy array and create a MultiIndex object.
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