Version 1 Documentation

Functionality

active_learn_campaign(campaign_id, num_points)	Active learn campaign
train_campaign(filepath_or_params, campaign_id)	Train a campaign in the twinLab cloud.
list_campaigns([verbose, debug])	List campaigns
delete_campaign(campaign_id[, verbose, debug])	Delete campaign
optimise_campaign(campaign_id, num_points[, ...])	Optimise campaign
predict_campaign(filepath_or_df, campaign_id)	Predict campaign
sample_campaign(filepath_or_df, campaign_id, ...)	Sample campaign
score_campaign(campaign_id[, ...])	Quantify the performance of your trained model with a model score.
get_calibration_curve_campaign(campaign_id)	Quantify the performance of your trained model with a calibration curve.