public override float Predict(Sample sample)
{
var convertedSample = new [] { ModelTrainer.ConvertToMlSample(sample) };
var sampleView = _context.Data.LoadFromEnumerable(convertedSample);
var res = _model.Transform(sampleView);
return(res.GetColumn <float>("Score").First());
}
public static void AutoMlOnDataset(MLContext context, TrainingData train, TrainingData validation)
{
var regExpSettings = new RegressionExperimentSettings {
MaxExperimentTimeInSeconds = 60 * 5,
OptimizingMetric = RegressionMetric.MeanAbsoluteError,
CacheDirectory = null,
};
var experiment = context.Auto().CreateRegressionExperiment(regExpSettings);
IProgress <RunDetail <RegressionMetrics> > progressHandler = new Handler();
//ModelTrainer.ToDataView(context, validation)
var experimentResults = experiment.Execute(ModelTrainer.ToDataView(context, train), progressHandler: progressHandler);
foreach (var res in experimentResults.RunDetails)
{
if (res.TrainerName != null && res.ValidationMetrics != null)
{
Console.WriteLine($"Trainer={res.TrainerName}; MAE={res.ValidationMetrics.MeanAbsoluteError}");
}
}
var best = experimentResults.BestRun;
Console.WriteLine($"Lé best trainer is {best.TrainerName} with MAE={best.ValidationMetrics.MeanAbsoluteError}");
}
