AI Experiment Object

An AI Experiment is a grouping of SigOpt Runs where different parameter configurations yield different metric values.

Key	Type	Value
client	string	The id of the Client who created the SigOpt AI Experiment.
conditionals	array<Conditional>	See conditionals.
created	int	The timestamp (in seconds since epoch) that this experiment was created.
id	string	A unique ID for a given experiment.
linear_constraints	array<Parameter Constraint>	See constraints.
metadata	map<string, value>	Optional user-provided metadata.
metrics	array<Metric>	See Metrics for more information.
name	string	A user-specified name for this experiment.
num_solutions	int	See Multisolution for more information.
budget	int	See Budget for more information.
parallel_bandwidth	int	The number of simultaneous Runs you plan to maintain during this experiment. The default value for this is 1, i.e., a sequential experiment. The maximum value for this is dependent on your plan. This field is optional, but setting it correctly may improve performance.
parameters	array<Parameter>	An array of parameter objects.
progress	Progress	The current progress of this experiment.
project	string	The id of the project that a given experiment belongs to.
state	string	The state of this experiment. Can be active (for experiments that are currently running), or deleted (for experiments that have been deleted).
type	string	A type for this experiment. Used for random and grid.
updated	int	The timestamp (in seconds since epoch) that this experiment was last updated.
user	string	The id of the user who created the experiment.