Package index • mlfeaturer

All functions

as: Convert feature_data to feature_data_list

as.list(<feature_data>): Convert feature_data to a list

create_preprocessed_data(): Create Preprocessed Data Object

dauta4: Growthrate of Algae

ml_evaluate(): Evaluates model performance across different data subsets.

feature_data-class: Preprocessed Data

feature_data_list-class: List Representation of Preprocessed Data

feature_params-class: Preprocessing Parameters

get_data(): Get All Data (X and Y)

get_id_all(): Get ID Columns for all data

get_id_test(): Get ID Columns for test data

get_id_train(): Get ID Columns for training data

get_x_all(): Get All Data (X)

get_x_test(): Get Test Data (X)

get_x_train(): Get Training Data (X)

get_y_all(): Get All Data (Y)

get_y_test(): Get Test Data (Y)

get_y_train(): Get Training Data (Y)

inv_transform_data(): Inverse Transform Data

list_or_NULL-class: Union Class of List or NULL

mlfeaturer mlfeaturer-package: Machine Learning and Feature Engineering for Regression Models

predict(<feature_data>): Model Predictions with `feature_data` Objects

residuals(<feature_data>): Extract Model Residuals Using `feature_data` Objects

rsquared(): Nonlinear Coefficient of Determination Using `feature_data` Objects

scale_data(): Scale Data

set_transformations(): Set Transformations

transform_data(): Transform Data