Deleting ResourcesΒΆ
Resources can be deleted individually using the corresponding method for each type of resource.
api.delete_source(source)
api.delete_dataset(dataset)
api.delete_model(model)
api.delete_prediction(prediction)
api.delete_evaluation(evaluation)
api.delete_ensemble(ensemble)
api.delete_batch_prediction(batch_prediction)
api.delete_cluster(cluster)
api.delete_centroid(centroid)
api.delete_batch_centroid(batch_centroid)
api.delete_anomaly(anomaly)
api.delete_anomaly_score(anomaly_score)
api.delete_batch_anomaly_score(batch_anomaly_score)
api.delete_sample(sample)
api.delete_correlation(correlation)
api.delete_statistical_test(statistical_test)
api.delete_logistic_regression(logistic_regression)
api.delete_linear_regression(linear_regression)
api.delete_association(association)
api.delete_association_set(association_set)
api.delete_topic_model(topic_model)
api.delete_topic_distribution(topic_distribution)
api.delete_batch_topic_distribution(batch_topic_distribution)
api.delete_time_series(time_series)
api.delete_forecast(forecast)
api.delete_fusion(fusion)
api.delete_pca(pca)
api.delete_deepnet(deepnet)
api.delete_projection(projection)
api.delete_batch_projection(batch_projection)
api.delete_project(project)
api.delete_script(script)
api.delete_library(library)
api.delete_execution(execution)
api.delete_external_connector(external_connector)
Each of the calls above will return a dictionary with the following keys:
code If the request is successful, the code will be a
bigml.api.HTTP_NO_CONTENT
(204) status code. Otherwise, it wil be one of the standard HTTP error codes. See the documentation on status codes for more info.error If the request does not succeed, it will contain a dictionary with an error code and a message. It will be
None
otherwise.