Man pages for jbryer/mldash
Evaluating Machine Learning Models Across Many Datasets
| 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 |
| mldash-package | mldash: Evaluating Machine Learning Models Across Many... |
| 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... |
