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
)
id of the project, can be obtained with get_projects().
name of the deployment.
id of the experiment to deploy, can be obtained with get_experiment_id_from_name().
id of the experiment_version to deploy, can be obtained with get_experiment_version_id().
id of the challenger experiment_version to deploy, can be obtained with get_experiment_version_id().
type of access of the deployment among "fine_grained" (project defined, default), "private" (instance) or "public" (everyone).
handling of type violation when making predictions among "best_effort" (default) or "strict" (stops the prediction if there is a type violation).
description of the deployment.
id of the model to deploy
id of the challenger model to deploy
list - parsed content of the deployment.