abacusai.eda_feature_association ================================ .. py:module:: abacusai.eda_feature_association Classes ------- .. autoapisummary:: abacusai.eda_feature_association.EdaFeatureAssociation Module Contents --------------- .. py:class:: EdaFeatureAssociation(client, data=None, isScatter=None, isBoxWhisker=None, xAxis=None, yAxis=None, xAxisColumnValues=None, yAxisColumnValues=None, dataColumns=None) Bases: :py:obj:`abacusai.return_class.AbstractApiClass` Eda Feature Association between two features in the data. :param client: An authenticated API Client instance :type client: ApiClient :param data: the data to display the feature association between two features :type data: dict :param isScatter: A Boolean that represents if the data creates a scatter plot (for cases of numerical data vs numerical data) :type isScatter: bool :param isBoxWhisker: A Boolean that represents if the data creates a box whisker plot (For cases of categorical data vs numerical data and vice versa) :type isBoxWhisker: bool :param xAxis: Name of the feature selected for feature association (reference_feature_name) for x axis on the plot :type xAxis: str :param yAxis: Name of the feature selected for feature association (test_feature_name) for y axis on the plot :type yAxis: str :param xAxisColumnValues: Name of all the categories within the x_axis feature (if it is a categorical data type) :type xAxisColumnValues: list :param yAxisColumnValues: Name of all the categories within the y_axis feature (if it is a categorical data type) :type yAxisColumnValues: list :param dataColumns: A list of columns listed in the data as keys :type dataColumns: list .. py:attribute:: data :value: None .. py:attribute:: is_scatter :value: None .. py:attribute:: is_box_whisker :value: None .. py:attribute:: x_axis :value: None .. py:attribute:: y_axis :value: None .. py:attribute:: x_axis_column_values :value: None .. py:attribute:: y_axis_column_values :value: None .. py:attribute:: data_columns :value: None .. py:attribute:: deprecated_keys .. py:method:: __repr__() .. py:method:: to_dict() Get a dict representation of the parameters in this class :returns: The dict value representation of the class parameters :rtype: dict