pyreal.explanation_types.feature_based.FeatureBased

class pyreal.explanation_types.feature_based.FeatureBased(explanation, values=None)

A type wrapper for feature-based DataFrame type outputs from explanation algorithms.

__init__(explanation, values=None)

Set the wrapped explanation to explanation and values to values and validate :param explanation: wrapped explanation :type explanation: object :param values: Values corresponding with the object being explained :type values: DataFrame of shape (n_instances, n_features) or None

Methods

__init__(explanation[, values])	Set the wrapped explanation to explanation and values to values and validate :param explanation: wrapped explanation :type explanation: object :param values: Values corresponding with the object being explained :type values: DataFrame of shape (n_instances, n_features) or None
apply_feature_descriptions(feature_descriptions)	Apply feature descriptions to explanation
combine_columns(columns, new_column)	Combine the values for columns into a new column, if appropriate :param columns: Columns to sum :type columns: list of strings :param new_column: Name of new column :type new_column: string
get()	Get the explanation wrapped by this type.
get_all()	Get the explanation and wrapped values as a tuple.
get_explanation()	Get the explanation wrapped by this type
get_top_features([num_features, select_by])	Get the top features from the explanation :returns:
get_values()	Return the values associated with the explanation
update_explanation(new_explanation[, ...])	Sets this object's explanation to the new value.
update_values(values[, inplace])	Updates this objects values, and validates
validate()	Validate that self.explanation is a valid DataFrame :returns: None
validate_values()	Validate that self.values are valid values for this Explanation.