woodwork.table_accessor.WoodworkTableAccessor.mutual_information¶

WoodworkTableAccessor.
mutual_information
(num_bins=10, nrows=None, include_index=False, callback=None)[source]¶ Calculates mutual information between all pairs of columns in the DataFrame that support mutual information. Logical Types that support mutual information are as follows: Age, AgeNullable, Boolean, BooleanNullable, Categorical, CountryCode, Datetime, Double, Integer, IntegerNullable, Ordinal, PostalCode, and SubRegionCode
 Parameters
num_bins (int) – Determines number of bins to use for converting numeric features into categorical.
nrows (int) – The number of rows to sample for when determining mutual info. If specified, samples the desired number of rows from the data. Defaults to using all rows.
include_index (bool) – If True, the column specified as the index will be included as long as its LogicalType is valid for mutual information calculations. If False, the index column will not have mutual information calculated for it. Defaults to False.
callback (callable, optional) –
function to be called with incremental updates. Has the following parameters:
update: percentage change (float between 0 and 100) in progress since last call
progress_percent: percentage (float between 0 and 100) of total computation completed
time_elapsed: total time in seconds that has elapsed since start of call
 Returns
A DataFrame containing mutual information with columns column_1, column_2, and mutual_info that is sorted in decending order by mutual info. Mutual information values are between 0 (no mutual information) and 1 (perfect dependency).
 Return type
pd.DataFrame