Beispiel #1
0
        public void GAMRegressorEstimator()
        {
            // Pipeline.
            var pipeline = new RegressionGamTrainer(Env, "Label", "Features", advancedSettings: s => {
                s.EnablePruning = false;
                s.NumIterations = 15;
            });

            TestEstimatorCore(pipeline, GetRegressionPipeline());
            Done();
        }
        public void GAMRegressorEstimator()
        {
            var dataView = GetRegressionPipeline();
            var trainer  = new RegressionGamTrainer(Env, new RegressionGamTrainer.Options
            {
                EnablePruning = false,
                NumIterations = 15,
            });

            TestEstimatorCore(trainer, dataView);
            var model = trainer.Train(dataView, dataView);

            Done();
        }
Beispiel #3
0
        public void GAMRegressorEstimator()
        {
            var dataView = GetRegressionPipeline();
            var trainer  = new RegressionGamTrainer(Env, "Label", "Features", advancedSettings: s =>
            {
                s.EnablePruning = false;
                s.NumIterations = 15;
            });

            TestEstimatorCore(trainer, dataView);
            var model = trainer.Train(dataView, dataView);

            Done();
        }