create_deployment_model {previsionio} | R Documentation |
Create a new deployment for a model.
Description
Create a new deployment for a model.
Usage
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
)
Arguments
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 |
Value
list - parsed content of the deployment.