create_deployment_model | R Documentation |
Create a new deployment for a model.
create_deployment_model( project_id, name, experiment_id, main_model_experiment_version_id, challenger_model_experiment_version_id = NULL, access_type = c("fine_grained"), type_violation_policy = c("best_effort"), description = NULL, main_model_id, challenger_model_id = NULL )
project_id |
id of the project, can be obtained with get_projects(). |
name |
name of the deployment. |
experiment_id |
id of the experiment to deploy, can be obtained with get_experiment_id_from_name(). |
main_model_experiment_version_id |
id of the experiment_version to deploy, can be obtained with get_experiment_version_id(). |
challenger_model_experiment_version_id |
id of the challenger experiment_version to deploy, can be obtained with get_experiment_version_id(). |
access_type |
type of access of the deployment among "fine_grained" (project defined, default), "private" (instance) or "public" (everyone). |
type_violation_policy |
handling of type violation when making predictions among "best_effort" (default) or "strict" (stops the prediction if there is a type violation). |
description |
description of the deployment. |
main_model_id |
id of the model to deploy |
challenger_model_id |
id of the challenger model to deploy |
list - parsed content of the deployment.
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