qolmat.benchmark.metrics.mean_difference_correlation_matrix_numerical_features¶
- qolmat.benchmark.metrics.mean_difference_correlation_matrix_numerical_features(df1: DataFrame, df2: DataFrame, df_mask: DataFrame, use_p_value: bool = True) Series[source]¶
Compute the mean absolute of differences.
Computed between the correlation matrices of df1 and df2. based on Pearson correlation coefficient or p-value for testing non-correlation.
- Parameters
- df1pd.DataFrame
true dataframe
- df2pd.DataFrame
predicted dataframe
- df_maskpd.DataFrame
Elements of the dataframes to compute on
- use_p_valuebool, optional
use the p-value instead of the correlation coefficient, by default True
- Returns
- pd.Series
Mean absolute of differences for each feature