API for mljar
R API for MLJAR

Global functions
accept_dataset_column_usage Source code
add_dataset_if_not_exists Man page Source code
add_experiment_if_not_exists Man page Source code
add_new_dataset Man page Source code
asses_total_training_time Source code
check_if_project_exists Source code
check_response_status Source code
create_experiment Man page Source code
create_project Man page Source code
data_check Source code
data_to_file Source code
delete_dataset Man page Source code
delete_project Man page Source code
get_all_models Man page Source code
get_best_result Source code
get_dataset Man page Source code
get_datasets Man page Source code
get_experiment Man page Source code
get_experiments Man page Source code
get_json_from_get_query Source code
get_json_from_post_query Source code
get_model Man page Source code
get_prediction Man page Source code
get_project Man page Source code
get_projects Man page Source code
get_results Man page Source code
get_results_stats Source code
get_signed_url Source code
get_token Source code
mljar_fit Man page Source code
mljar_predict Man page Source code
obtain_task Source code
prediction_download Man page Source code
print.get_dataset Source code
print.get_datasets Source code
print.get_experiment Source code
print.get_experiments Source code
print.get_prediction Source code
print.get_project Source code
print.get_projects Source code
print.get_results Source code
print_all_projects Man page Source code
start_experiment Source code
submit_predict_job Man page Source code
upload_file Man page Source code
verify_if_project_exists Source code
wait_till_all_datasets_are_valid Source code
wait_till_all_models_trained Source code
mljar documentation built on June 23, 2017, 5:04 p.m.