Create summary block with investigated configurations.
Create summary block with investigated configurations.
Override this method and create forks to train from the data.
Override this method and create forks to train from the data.
Given all the history of the optimization create the resulting model with the configurations summary block.
Given all the history of the optimization create the resulting model with the configurations summary block.
In order to support correct restoration from the temporary model storage and grouped optimization we need a way to restore model configuration from its summary row of configurations block.
In order to support correct restoration from the temporary model storage and grouped optimization we need a way to restore model configuration from its summary row of configurations block.
Extracts information of the resulting metrics from the trained model.
Extracts information of the resulting metrics from the trained model.
Given models trained for each fork create a combined model.
Given models trained for each fork create a combined model. This model is the result of the estimator.
Nested estimator to call for each fork.
Nested estimator to call for each fork.
Provides ability to search through multiple configurations in parallel mode, collecting all the stat and metrics.
Supports persisting temporary models in order to restore after failures, but only when used with StableOrderParamGridBuilder.