Plan Rules Object

A description of what a client is allowed to do under a specific plan.

Fields

Key	Type	Value
max_categorical_breadth	int	How many distinct categorical values experiments can have across all parameters.
max_checkpoints	int	The max number of training monitor checkpoints that can be created during a training run.
max_clients	int	How many individual clients (teams) can use the product.
max_conditionals_breadth	int	How many distinct conditional values experiments can have across all parameters.
max_constraints	int	How many parameter constraints experiments can have.
max_dimension	int	How many parameters experiments can have.
max_experiments	int	How many experiments the client is allowed to create in each period.
max_extra_failures	int	How many failed observations are allowed to occur.
max_metrics	int	How many metrics can be optimized at once. Does not include unoptimized metrics.
max_observations	int	How many observations each experiment can have.
max_parallelism	int	How many open suggestions each experiment can have concurrently.
max_solutions	int	How many solutions experiments can have.
max_users	int	How many users the organization can have.
supports_benchmarking	boolean	Whether creating random and grid experiments is allowed.
supports_multitask	boolean	Whether multitask experiments are allowed.

Example

{
  "max_categorical_breadth": 6,
  "max_checkpoints": 0,
  "max_clients": 1,
  "max_conditionals_breadth": 6,
  "max_constraints": 0,
  "max_dimension": 10,
  "max_experiments": 10,
  "max_extra_failures": null,
  "max_metrics": null,
  "max_num_search_metrics": 4,
  "max_observations": 150,
  "max_optimized_grid_length": 50,
  "max_optimized_runs": null,
  "max_parallelism": 6,
  "max_solutions": 0,
  "max_storage_bytes": 0,
  "max_users": null,
  "object": "plan_rules",
  "plan_tier": 0,
  "supports_benchmarking": false,
  "supports_multitask": true,
  "supports_saml": false,
  "warn_optimized_runs": null
}