df_categorical_feature_dist: Calculate the feature-level PSI index for the specified...

In BrandonRCopeland/DataScience: Provides Helper Functions for Data Science Analysis

Calculate the feature-level PSI index for the specified numeric features

Description

This function takes two Spark DataFrames as input. One should contain the features with their expected values. The other should contain the features with their actual values. Example... if we're comparing Oct '18 to Nov '18 features, Oct '18 would be expected and Nov '18 would be actual.

Usage

df_categorical_feature_dist(df, gather_cols, key = "key", value = "value")

Arguments

df	tbd
gather_cols	tbd
key	tbd
value	tbd

Details

NOTE: This function currently only supports NUMERIC and/or CHARACTER data types.

Value

base R dataframe

BrandonRCopeland/DataScience documentation built on Oct. 14, 2023, 9:45 a.m.