Man pages for adrianmarino/commons
commons
| auc | Get ROC AUC |
| cat_vars | Get categorical column names. |
| c_m | Get confusion matrix |
| fbeta_score | Get F Beta Score |
| features | Returns datafram e features. |
| features_importance | Get features importance from a dataframe for a give target... |
| find_high_correlated_columns | Get a list of high correlated features. |
| fn | Get false negatives count. |
| fp | Get false positives count. |
| get_global_var_value | Get a global variable value |
| import | Allows load a script file under global context. |
| index_as_column | Add index as another regular data frame column |
| load_df_from_csv | Load a csv file ito a data.frame |
| num_vars | Get numneric column names. |
| pca | Perform a PCA rebust analisys un er a input data frame. |
| plot_cm | Plot confusion matrix |
| plot_features_importance | Plot a fearures importance result. |
| plot_pca | Plot a PCA analisys into a biplot. |
| plot_roc | Plot ROC |
| roc | Get ROC |
| set_global_var_value | Creates a variable under scope global |
| target | Returns a data frame with the target column. |
| target_array | Returns target column values as array. |
| tn | Get true negatives count. |
| top_acc_features | Returns top K more important features. |
| tp | Get true positives count. |
| train_test_split | Makes a train test split. It Also makes a suffle by default. |
