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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
}