/// <summary>
/// Create a trainer.
/// </summary>
/// <param name="env">host</param>
/// <param name="settings">trainer description as a string such <pre>ova{p=lr}</pre></param>
/// <param name="extraArgs">additional arguments</param>
public static ITrainerExtended CreateTrainer(IHostEnvironment env, string settings, params object[] extraArgs)
{
var sc = SubComponent.Parse <ITrainer, SignatureTrainer>(settings);
var inst = sc.CreateInstance(env, extraArgs);
return(new ExtendedTrainer(inst, sc.Kind));
}
private static TRes CreateInstance <TRes, TSig>(IHostEnvironment env, string settings, out string loadName, params object[] extraArgs)
where TRes : class
{
Contracts.AssertValue(env);
env.AssertValue(settings, "settings");
var sc = SubComponent.Parse <TRes, TSig>(settings);
loadName = sc.Kind;
return(sc.CreateInstance(env, extraArgs));
}
/// <summary>
/// Creates a data scorer from the 'LoadName{settings}' string.
/// </summary>
/// <param name="env">The host environment to use.</param>
/// <param name="settings">The settings string.</param>
/// <param name="data">The data to score.</param>
/// <param name="predictor">The predictor to score.</param>
/// <param name="trainSchema">The training data schema from which the scorer can optionally extract
/// additional information, e.g., label names. If this is <c>null</c>, no information will be
/// extracted.</param>
/// <returns>The scored data.</returns>
public static IDataScorerTransform CreateScorer(this IHostEnvironment env, string settings,
RoleMappedData data, Predictor predictor, RoleMappedSchema trainSchema = null)
{
Contracts.CheckValue(env, nameof(env));
env.CheckValue(data, nameof(data));
env.CheckValue(predictor, nameof(predictor));
env.CheckValueOrNull(trainSchema);
var subComponent = SubComponent.Parse <IDataScorerTransform, SignatureDataScorer>(settings);
var bindable = ScoreUtils.GetSchemaBindableMapper(env, predictor.Pred, subComponent);
var mapper = bindable.Bind(env, data.Schema);
return(CreateCore <IDataScorerTransform, SignatureDataScorer>(env, settings, data.Data, mapper, trainSchema));
}