helper_drift_analysis {previsionio}

[BETA] Return a data.frame that contains features, a boolean indicating if the feature may have a different distribution between the submitted datasets (if p-value < threshold), their exact p-value and the test used to compute it.

Description

[BETA] Return a data.frame that contains features, a boolean indicating if the feature may have a different distribution between the submitted datasets (if p-value < threshold), their exact p-value and the test used to compute it.

Usage

helper_drift_analysis(dataset_1, dataset_2, p_value = 0.05, features = NULL)

Arguments

dataset_1

the first data set

dataset_2

the second data set

p_value

a p-value that will be the decision criteria for deciding if a feature is suspicious 5% by default

features

a vector of features names that should be tested. If NULL, only the intersection of the names() will be kept

Value

vector - a vector of suspicious features.