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
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.
A list containing dictionaries that have keys 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