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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 | ||
created | int | The timestamp (in seconds since epoch) that this experiment was created. |
id | string | A unique ID for a given experiment. |
linear_constraints | ||
metadata | map<string, value> | Optional user-provided metadata. |
metrics | ||
name | string | A user-specified name for this experiment. |
num_solutions | int | |
budget | int | |
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 | ||
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. |
Last modified 1yr ago