public PipelinePattern(TransformInference.SuggestedTransform[] transforms,
RecipeInference.SuggestedRecipe.SuggestedLearner learner,
string loaderSettings, IHostEnvironment env, AutoInference.RunSummary summary = null)
{
// Make sure internal pipeline nodes and sweep params are cloned, not shared.
// Cloning the transforms and learner rather than assigning outright
// ensures that this will be the case. Doing this here allows us to not
// worry about changing hyperparameter values in candidate pipelines
// possibly overwritting other pipelines.
Transforms = transforms.Select(t => t.Clone()).ToArray();
Learner = learner.Clone();
LoaderSettings = loaderSettings;
_env = env;
PerformanceSummary = summary;
UniqueId = Guid.NewGuid();
}
public static IRunResult ConvertToRunResult(RecipeInference.SuggestedRecipe.SuggestedLearner learner,
AutoInference.RunSummary rs, bool isMetricMaximizing) =>
new RunResult(ConvertToParameterSet(learner.PipelineNode.SweepParams, learner), rs.MetricValue, isMetricMaximizing);
