Function reference • mldash

All functions

add_ml_results(): add_ml_results

check_java(): Checks if Java is installed.

check_python(): Checks if Python is installed.

get_all_metrics(): Returns all metrics from the yardstick package.

get_data(): Reads in a data frame for a model file

get_timeseries_metrics(): Returns time series metrics from the yardstick package.

local_clone(): local_clone

new_dataset(): Create a new data set metadata file.

new_model(): Create a new data set metadata file.

read_ml_datasets(): Reads model files for running predictive models.

read_ml_models(): Reads data files for running predictive models.

run_models(): Runs the predictive models for the given datasets.

shiny_mldash(): Run the Loess shiny app.

shiny_server(): The Shiny App Server.

shiny_ui(): The Shiny App UI.

upstream_owner: Clones the upstream mldash project, saves a ml_results object and creates a pull request so others can see past results of run_ml_models().