| Create a new connector of a supported type (among: "SQL", "FTP", "SFTP", "S3", "GCP"). If check_if_exist is enabled, the function will check if a connector with the same name already exists. If yes, it will return a message and the information of the existing connector instead of creating a new one. | create_connector |
| Create a new contact point of a supported type (among: "email", "slack"). | create_contact_point |
| Create a dataframe from a dataset_id. | create_dataframe_from_dataset |
| Create a dataset embedding from a dataset_id. | create_dataset_embedding |
| Upload dataset from data frame. | create_dataset_from_dataframe |
| Create a dataset from an existing datasource. | create_dataset_from_datasource |
| Upload dataset from file name. | create_dataset_from_file |
| Create a new datasource If check_if_exist is enabled, the function will check if a datasource with the same name already exists. If yes, it will return a message and the information of the existing datasource instead of creating a new one. | create_datasource |
| Create a new API key for a deployed model. | create_deployment_api_key |
| Create a new deployment for a model. | create_deployment_model |
| Create predictions on a deployed model using a dataset. | create_deployment_predictions |
| Create a new experiment. If check_if_exist is enabled, the function will check if an experiment with the same name already exists. If yes, it will return a message and the information of the existing experiment instead of creating a new one. | create_experiment |
| Create a new version of an existing experiment. | create_experiment_version |
| Export data using an existing exporter and the resource to export | create_export |
| Create a new exporter | create_exporter |
| Upload folder from a local file. | create_folder |
| Trigger an existing pipeline run. | create_pipeline_trigger |
| Create a prediction on a specified experiment_version | create_prediction |
| Create a new project. If check_if_exist is enabled, the function will check if a project with the same name already exists. If yes, it will return a message and the information of the existing project instead of creating a new one. | create_project |
| Add user in and existing project. | create_project_user |
| Delete an existing connector. | delete_connector |
| Delete an existing contact_point | delete_contact_point |
| Delete an existing dataset. | delete_dataset |
| Delete a datasource | delete_datasource |
| Delete an existing deployment. | delete_deployment |
| Delete a experiment on the platform. | delete_experiment |
| Delete an exporter | delete_exporter |
| Delete an existing folder. | delete_folder |
| Delete an existing pipeline | delete_pipeline |
| Delete a prediction. | delete_prediction |
| Delete an existing project. | delete_project |
| Delete user in and existing project. | delete_project_user |
| Get the model_id that provide the best predictive performance given experiment_version_id. If include_blend is false, it will return the model_id from the best "non blended" model. | get_best_model_id |
| Get a connector_id from a connector_name for a given project_id. If duplicated name, the first connector_id that match it is retrieved. | get_connector_id_from_name |
| Get information about connector from its id. | get_connector_info |
| Get information of all connectors available for a given project_id. | get_connectors |
| Get a contact point information from its contact_point_id. | get_contact_point_info |
| Get information of all contact points available for a given project_id. | get_contact_points |
| Get a dataset embedding from a dataset_id. | get_dataset_embedding |
| Show the head of a dataset from its id. | get_dataset_head |
| Get a dataset_id from a dataset_name. If duplicated name, the first dataset_id that match it is retrieved. | get_dataset_id_from_name |
| Get a dataset from its id. | get_dataset_info |
| Get information of all datasets available for a given project_id. | get_datasets |
| Get a datasource_id from a datasource_name If duplicated name, the first datasource_id that match it is retrieved | get_datasource_id_from_name |
| Get a datasource from its id. | get_datasource_info |
| Get information of all data sources available for a given project_id. | get_datasources |
| Get a deployment_alert_id from a name and type for a given deployment_id. | get_deployment_alert_id_from_name |
| Get information about a deployment_alert for a given deployed model. | get_deployment_alert_info |
| Get information of all alerts related to a deployment_id. | get_deployment_alerts |
| Get API keys for a deployed model. | get_deployment_api_keys |
| Get logs from a deployed app. | get_deployment_app_logs |
| Get a deployment_id from a name and type for a given project_id. If duplicated name, the first deployment_id that match it is retrieved. | get_deployment_id_from_name |
| Get information about a deployment from its id. | get_deployment_info |
| Get information related to predictions of a prediction_id. | get_deployment_prediction_info |
| Get listing of predictions related to a deployment_id. | get_deployment_predictions |
| Get usage (calls, errors and response time) of the last version of a deployed model. | get_deployment_usage |
| Get information of all deployments of a given type available for a given project_id. | get_deployments |
| Get a experiment_id from a experiment_name If duplicated name, the first experiment_id that match it is retrieved. | get_experiment_id_from_name |
| Get a experiment from its experiment_id. | get_experiment_info |
| Get features information related to a experiment_version_id. | get_experiment_version_features |
| Get a experiment version id from a experiment_id and its version number. | get_experiment_version_id |
| Get a experiment_version info from its experiment_version_id | get_experiment_version_info |
| Get a model list related to a experiment_version_id. | get_experiment_version_models |
| Get a list of prediction from a experiment_version_id. | get_experiment_version_predictions |
| Get information of all experiments available for a given project_id. | get_experiments |
| Get all exports done from an exporter_id | get_exporter_exports |
| Get a exporter_id from a exporter_name. If duplicated name, the first exporter_id that match it is retrieved | get_exporter_id_from_name |
| Get an exporter from its id. | get_exporter_info |
| Get information of all exporters available for a given project_id. | get_exporters |
| Get information of a given feature related to a experiment_version_id. | get_features_infos |
| Get a folder from its id. | get_folder |
| Get a folder_id from a folder_name. If duplicated name, the first folder_id that match it is retrieved. | get_folder_id_from_name |
| Get information of all image folders available for a given project_id. | get_folders |
| Get the cross validation file from a specific model. | get_model_cv |
| Get feature importance corresponding to a model_id. | get_model_feature_importance |
| Get hyperparameters corresponding to a model_id. | get_model_hyperparameters |
| Get model information corresponding to a model_id. | get_model_infos |
| Get a pipeline_id from a pipeline_name and type for a given project_id. If duplicated name, the first pipeline_id that match it is retrieved. | get_pipeline_id_from_name |
| Get information about a pipeline from its id and its type. | get_pipeline_info |
| Get information of all pipelines of a given type available for a given project_id. | get_pipelines |
| Get a specific prediction from a prediction_id. Wait up until time_out is reached and wait wait_time between each retry. | get_prediction |
| Get a information about a prediction_id. | get_prediction_infos |
| Get a project_id from a project_name If duplicated name, the first project_id that match it is retrieved. | get_project_id_from_name |
| Get a project from its project_id. | get_project_info |
| Get users from a project. | get_project_users |
| Retrieves all projects. | get_projects |
| Get metrics on a CV file retrieved by Prevision.io for a binary classification use case | helper_cv_classif_analysis |
| [BETA] Return a data.frame that contains features, a boolean indicating if the feature may have a different distribution between the submitted datasets (if p-value < threshold), their exact p-value and the test used to compute it. | helper_drift_analysis |
| [BETA] Compute the optimal prediction for each rows in a data frame, for a given model, a list of actionable features and a number of samples for each features to be tested. | helper_optimal_prediction |
| Plot RECALL, PRECISION & F1 SCORE versus top n predictions for a binary classification use case | helper_plot_classif_analysis |
| Pause a running experiment_version on the platform. | pause_experiment_version |
| Download resources according specific parameters. | pio_download |
| Initialization of the connection to your instance Prevision.io. | pio_init |
| Convert a list returned from APIs to a dataframe. Only working for consistent list (same naming and number of columns). | pio_list_to_df |
| Request the platform. Thanks to an endpoint, the url and the API, you can create request. | pio_request |
| Resume a paused experiment_version on the platform. | resume_experiment_version |
| Stop a running or paused experiment_version on the platform. | stop_experiment_version |
| Test an existing connector. | test_connector |
| Test an existing contact point | test_contact_point |
| Test a datasource | test_datasource |
| Check if a type of a deployment is supported | test_deployment_type |
| Check if a type of a pipeline is supported | test_pipeline_type |
| Update the description of a given experiment_version_id. | update_experiment_version_description |
| Update user role in and existing project. | update_project_user_role |
