Function reference • rpwf

All functions

rpwf_add_py_model(): Add scikit-learn Model Definitions to Database

rpwf_augment(): Generic S3 Function for rpwf_workflow_set and rpwf_data_set

rpwf_avail_models(): Show Available Models

rpwf_connect_db(): Create a Database and Return an Object that Stores the Connection

rpwf_cp_py_codes(): Copy sklearn Codes to Path

rpwf_data_set(): Juice data from a Recipe

rpwf_db_del_entry(): Deletes Rows from Tables Other than wflow_tbl

rpwf_db_del_wflow(): Delete Exported Workflows

rpwf_dm(): Generate a dm Object of the Database

rpwf_export_db(): Generic S3 Function for rpwf_augment() Object into the Database

rpwf_results(): Get Results from Finished workflows

rpwf_schema(): The db Schema

rpwf_tag_recipe(): Add a Tag to a Recipe

rpwf_workflow_set(): Customized Version of workflowsets

rpwf_write_board_yaml(): Write the Board Information as a YAML File

rpwf_write_df(): Write the Train/Test Data

rpwf_write_grid(): Write the Hyper Param Grid Parquet File

set_py_engine(): Define the Python Learner

set_r_grid(): Create a Tune Grid Specific to the Provided Model Spec

update_role_pd_index(): Change a Column Role to "pd.index"