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previsionio (version 11.7.0)
'Prevision.io' R SDK
Description
For working with the 'Prevision.io' AI model management platform's API
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Version
11.7.0
11.3.3
11.3.1
11.3.0
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install.packages('previsionio')
Monthly Downloads
283
Version
11.7.0
License
MIT + file LICENSE
Maintainer
Florian Laroumagne
Last Published
March 9th, 2022
Functions in previsionio (11.7.0)
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create_dataset_from_datasource
Create a dataset from an existing datasource.
create_dataset_embedding
Create a dataset embedding from a dataset_id.
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_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_dataset_from_dataframe
Upload dataset from data frame.
create_deployment_api_key
Create a new API key for a deployed model.
create_dataframe_from_dataset
Create a dataframe from a dataset_id.
create_contact_point
Create a new contact point of a supported type (among: "email", "slack").
create_deployment_model
Create a new deployment for a model.
delete_pipeline
Delete an existing pipeline
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_deployment_predictions
Create predictions on a deployed model using a dataset.
delete_dataset
Delete an existing dataset.
create_prediction
Create a prediction on a specified experiment_version
delete_datasource
Delete a datasource
create_pipeline_trigger
Trigger an existing pipeline run.
create_export
Export data using an existing exporter and the resource to export
delete_folder
Delete an existing folder.
create_experiment_version
Create a new version of an existing experiment.
delete_exporter
Delete an exporter
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.
delete_prediction
Delete a prediction.
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.
create_folder
Upload folder from a local file.
create_exporter
Create a new exporter
get_datasource_info
Get a datasource from its id.
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.
delete_deployment
Delete an existing deployment.
delete_experiment
Delete a experiment on the platform.
get_dataset_embedding
Get a dataset embedding from a dataset_id.
get_deployment_alert_id_from_name
Get a deployment_alert_id from a name and type for a given deployment_id.
get_dataset_head
Show the head of a dataset from its id.
get_deployment_alert_info
Get information about a deployment_alert for a given deployed model.
delete_connector
Delete an existing connector.
create_project_user
Add user in and existing project.
delete_project
Delete an existing project.
get_contact_point_info
Get a contact point information from its contact_point_id.
get_datasets
Get information of all datasets available for a given project_id.
get_experiment_version_models
Get a model list related to a experiment_version_id.
get_deployments
Get information of all deployments of a given type available for a given project_id.
get_exporters
Get information of all exporters 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.
delete_project_user
Delete user in and existing project.
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_deployment_info
Get information about a deployment from its id.
get_contact_points
Get information of all contact points available for a given project_id.
get_dataset_info
Get a dataset from its id.
delete_contact_point
Delete an existing contact_point
get_experiments
Get information of all experiments available for a given project_id.
get_deployment_prediction_info
Get information related to predictions of a prediction_id.
get_features_infos
Get information of a given feature related to a experiment_version_id.
get_model_infos
Get model information corresponding to a model_id.
get_connector_info
Get information about connector from its 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_project_users
Get users from a project.
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_projects
Retrieves all projects.
get_experiment_info
Get a experiment from its experiment_id.
get_datasources
Get information of all data sources available for a given project_id.
get_experiment_version_features
Get features information related to a experiment_version_id.
get_deployment_alerts
Get information of all alerts related to a deployment_id.
get_connectors
Get information of all connectors available for a given project_id.
get_deployment_api_keys
Get API keys for a deployed model.
get_deployment_app_logs
Get logs from a deployed app.
get_experiment_version_id
Get a experiment version id from a experiment_id and its version number.
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_predictions
Get listing of predictions related to a deployment_id.
get_experiment_version_info
Get a experiment_version info from its experiment_version_id
get_exporter_exports
Get all exports done from an exporter_id
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.
resume_experiment_version
Resume a paused experiment_version on the platform.
pio_request
Request the platform. Thanks to an endpoint, the url and the API, you can create request.
get_model_feature_importance
Get feature importance corresponding to a model_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_model_hyperparameters
Get hyperparameters corresponding to a model_id.
get_deployment_usage
Get usage (calls, errors and response time) of the last version of a deployed model.
get_folders
Get information of all image folders available for a given project_id.
get_exporter_info
Get an exporter from its id.
stop_experiment_version
Stop a running or paused experiment_version on the platform.
helper_plot_classif_analysis
Plot RECALL, PRECISION & F1 SCORE versus top n predictions for a binary classification use case
get_model_cv
Get the cross validation file from a specific model.
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.
get_folder
Get a folder from its id.
pause_experiment_version
Pause a running experiment_version on the platform.
get_project_info
Get a project from its project_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_folder_id_from_name
Get a folder_id from a folder_name. If duplicated name, the first folder_id that match it is retrieved.
test_contact_point
Test an existing contact point
pio_download
Download resources according specific parameters.
test_connector
Test an existing connector.
get_pipeline_info
Get information about a pipeline from its id and its type.
get_experiment_version_predictions
Get a list of prediction from a experiment_version_id.
update_experiment_version_description
Update the description of a given experiment_version_id.
test_deployment_type
Check if a type of a deployment is supported
test_datasource
Test a datasource
test_pipeline_type
Check if a type of a pipeline is supported
update_project_user_role
Update user role in and existing project.
get_prediction
Get a specific prediction from a prediction_id. Wait up until time_out is reached and wait wait_time between each retry.
pio_init
Initialization of the connection to your instance Prevision.io.
get_pipelines
Get information of all pipelines of a given type available for a given project_id.
get_prediction_infos
Get a information about a prediction_id.
pio_list_to_df
Convert a list returned from APIs to a dataframe. Only working for consistent list (same naming and number of columns).