create_connector        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_contact_point    Create a new contact point of a supported type
                        (among: "email", "slack").
create_dataframe_from_dataset
                        Create a dataframe from a dataset_id.
create_dataset_embedding
                        Create a dataset embedding from a dataset_id.
create_dataset_from_dataframe
                        Upload dataset from data frame.
create_dataset_from_datasource
                        Create a dataset from an existing datasource.
create_dataset_from_file
                        Upload dataset from file name.
create_datasource       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_deployment_api_key
                        Create a new API key for a deployed model.
create_deployment_model
                        Create a new deployment for a model.
create_deployment_predictions
                        Create predictions on a deployed model using a
                        dataset.
create_experiment       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_version
                        Create a new version of an existing experiment.
create_export           Export data using an existing exporter and the
                        resource to export
create_exporter         Create a new exporter
create_folder           Upload folder from a local file.
create_pipeline_trigger
                        Trigger an existing pipeline run.
create_prediction       Create a prediction on a specified
                        experiment_version
create_project          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_user     Add user in and existing project.
delete_connector        Delete an existing connector.
delete_contact_point    Delete an existing contact_point
delete_dataset          Delete an existing dataset.
delete_datasource       Delete a datasource
delete_deployment       Delete an existing deployment.
delete_experiment       Delete a experiment on the platform.
delete_exporter         Delete an exporter
delete_folder           Delete an existing folder.
delete_pipeline         Delete an existing pipeline
delete_prediction       Delete a prediction.
delete_project          Delete an existing project.
delete_project_user     Delete user in and existing project.
get_best_model_id       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_connector_id_from_name
                        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_info      Get information about connector from its id.
get_connectors          Get information of all connectors available for
                        a given project_id.
get_contact_point_info
                        Get a contact point information from its
                        contact_point_id.
get_contact_points      Get information of all contact points available
                        for a given project_id.
get_dataset_embedding   Get a dataset embedding from a dataset_id.
get_dataset_head        Show the head of a dataset from its id.
get_dataset_id_from_name
                        Get a dataset_id from a dataset_name. If
                        duplicated name, the first dataset_id that
                        match it is retrieved.
get_dataset_info        Get a dataset from its id.
get_datasets            Get information of all datasets available for a
                        given project_id.
get_datasource_id_from_name
                        Get a datasource_id from a datasource_name If
                        duplicated name, the first datasource_id that
                        match it is retrieved
get_datasource_info     Get a datasource from its id.
get_datasources         Get information of all data sources available
                        for a given project_id.
get_deployment_alert_id_from_name
                        Get a deployment_alert_id from a name and type
                        for a given deployment_id.
get_deployment_alert_info
                        Get information about a deployment_alert for a
                        given deployed model.
get_deployment_alerts   Get information of all alerts related to a
                        deployment_id.
get_deployment_api_keys
                        Get API keys for a deployed model.
get_deployment_app_logs
                        Get logs from a deployed app.
get_deployment_id_from_name
                        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_info     Get information about a deployment from its id.
get_deployment_prediction_info
                        Get information related to predictions of a
                        prediction_id.
get_deployment_predictions
                        Get listing of predictions related to a
                        deployment_id.
get_deployment_usage    Get usage (calls, errors and response time) of
                        the last version of a deployed model.
get_deployments         Get information of all deployments of a given
                        type available for a given project_id.
get_experiment_id_from_name
                        Get a experiment_id from a experiment_name If
                        duplicated name, the first experiment_id that
                        match it is retrieved.
get_experiment_info     Get a experiment from its experiment_id.
get_experiment_version_features
                        Get features information related to a
                        experiment_version_id.
get_experiment_version_id
                        Get a experiment version id from a
                        experiment_id and its version number.
get_experiment_version_info
                        Get a experiment_version info from its
                        experiment_version_id
get_experiment_version_models
                        Get a model list related to a
                        experiment_version_id.
get_experiment_version_predictions
                        Get a list of prediction from a
                        experiment_version_id.
get_experiments         Get information of all experiments available
                        for a given project_id.
get_exporter_exports    Get all exports done from an exporter_id
get_exporter_id_from_name
                        Get a exporter_id from a exporter_name. If
                        duplicated name, the first exporter_id that
                        match it is retrieved
get_exporter_info       Get an exporter from its id.
get_exporters           Get information of all exporters available for
                        a given project_id.
get_features_infos      Get information of a given feature related to a
                        experiment_version_id.
get_folder              Get a folder from its id.
get_folder_id_from_name
                        Get a folder_id from a folder_name. If
                        duplicated name, the first folder_id that match
                        it is retrieved.
get_folders             Get information of all image folders available
                        for a given project_id.
get_model_cv            Get the cross validation file from a specific
                        model.
get_model_feature_importance
                        Get feature importance corresponding to a
                        model_id.
get_model_hyperparameters
                        Get hyperparameters corresponding to a
                        model_id.
get_model_infos         Get model information corresponding to a
                        model_id.
get_pipeline_id_from_name
                        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_info       Get information about a pipeline from its id
                        and its type.
get_pipelines           Get information of all pipelines of a given
                        type available for a given project_id.
get_prediction          Get a specific prediction from a prediction_id.
                        Wait up until time_out is reached and wait
                        wait_time between each retry.
get_prediction_infos    Get a information about a prediction_id.
get_project_id_from_name
                        Get a project_id from a project_name If
                        duplicated name, the first project_id that
                        match it is retrieved.
get_project_info        Get a project from its project_id.
get_project_users       Get users from a project.
get_projects            Retrieves all projects.
helper_cv_classif_analysis
                        Get metrics on a CV file retrieved by
                        Prevision.io for a binary classification use
                        case
helper_drift_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_optimal_prediction
                        [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_plot_classif_analysis
                        Plot RECALL, PRECISION & F1 SCORE versus top n
                        predictions for a binary classification use
                        case
pause_experiment_version
                        Pause a running experiment_version on the
                        platform.
pio_download            Download resources according specific
                        parameters.
pio_init                Initialization of the connection to your
                        instance Prevision.io.
pio_list_to_df          Convert a list returned from APIs to a
                        dataframe. Only working for consistent list
                        (same naming and number of columns).
pio_request             Request the platform. Thanks to an endpoint,
                        the url and the API, you can create request.
resume_experiment_version
                        Resume a paused experiment_version on the
                        platform.
stop_experiment_version
                        Stop a running or paused experiment_version on
                        the platform.
test_connector          Test an existing connector.
test_contact_point      Test an existing contact point
test_datasource         Test a datasource
test_deployment_type    Check if a type of a deployment is supported
test_pipeline_type      Check if a type of a pipeline is supported
update_experiment_version_description
                        Update the description of a given
                        experiment_version_id.
update_project_user_role
                        Update user role in and existing project.
