2 instantiations of FastForestRegressionModelParameters
Microsoft.ML.FastTree (2)
RandomForestRegression.cs (2)
213return new FastForestRegressionModelParameters(env, ctx); 384return new FastForestRegressionModelParameters(Host, TrainedEnsemble, FeatureCount, InnerOptions, FastTreeTrainerOptions.NumberOfQuantileSamples);
38 references to FastForestRegressionModelParameters
Microsoft.ML.AutoML (16)
Sweepers\SmacSweeper.cs (8)
101var forestPredictor = FitModel(viableRuns); 107private FastForestRegressionModelParameters FitModel(IEnumerable<IRunResult> previousRuns) 135var predictor = trainer.Fit(data).Model; 151private ParameterSet[] GenerateCandidateConfigurations(int numOfCandidates, IEnumerable<IRunResult> previousRuns, FastForestRegressionModelParameters forest) 179private ParameterSet[] GreedyPlusRandomSearch(ParameterSet[] parents, FastForestRegressionModelParameters forest, int numOfCandidates, IEnumerable<IRunResult> previousRuns) 224private Tuple<double, ParameterSet> LocalSearch(ParameterSet parent, FastForestRegressionModelParameters forest, double bestVal, double epsilon, bool isMetricMaximizing) 325private double[][] GetForestRegressionLeafValues(FastForestRegressionModelParameters forest, ParameterSet[] configs) 380private double[] EvaluateConfigurationsByEI(FastForestRegressionModelParameters forest, double bestVal, ParameterSet[] configs, bool isMetricMaximizing)
Tuner\SmacTuner.cs (8)
106var model = FitModel(_histories); 120private FastForestRegressionModelParameters FitModel(IEnumerable<TrialResult> history) 149var predictor = model.Model; 169private Parameter[] GenerateCandidateConfigurations(int numOfCandidates, IEnumerable<TrialResult> previousRuns, FastForestRegressionModelParameters forest) 192private Parameter[] GreedyPlusRandomSearch(IEnumerable<Parameter> parents, FastForestRegressionModelParameters forest, int numOfCandidates) 229private Tuple<double, Parameter> LocalSearch(Parameter startParameter, FastForestRegressionModelParameters forest, double bestLoss) 306private double EvaluateConfigurationsByEI(FastForestRegressionModelParameters forest, double bestVal, Parameter parameter) 319private double[] GetForestRegressionLeafValues(FastForestRegressionModelParameters forest, Parameter parameter)
Microsoft.ML.FastTree (11)
RandomForestRegression.cs (11)
26[assembly: LoadableClass(typeof(FastForestRegressionModelParameters), null, typeof(SignatureLoadModel), 28FastForestRegressionModelParameters.LoaderSignature)] 168loaderAssemblyName: typeof(FastForestRegressionModelParameters).Assembly.FullName); 208internal static FastForestRegressionModelParameters Create(IHostEnvironment env, ModelLoadContext ctx) 294: RandomForestTrainerBase<FastForestRegressionTrainer.Options, RegressionPredictionTransformer<FastForestRegressionModelParameters>, FastForestRegressionModelParameters> 350private protected override FastForestRegressionModelParameters TrainModelCore(TrainContext context) 494private protected override RegressionPredictionTransformer<FastForestRegressionModelParameters> MakeTransformer(FastForestRegressionModelParameters model, DataViewSchema trainSchema) 495=> new RegressionPredictionTransformer<FastForestRegressionModelParameters>(Host, model, trainSchema, FeatureColumn.Name); 501public RegressionPredictionTransformer<FastForestRegressionModelParameters> Fit(IDataView trainData, IDataView validationData)
Microsoft.ML.IntegrationTests (3)
Explainability.cs (1)
152var treeModel = model.LastTransformer.Model;
IntrospectiveTraining.cs (2)
46var fastForestModel = model.LastTransformer.Model; 300typeof(RegressionPredictionTransformer<FastForestRegressionModelParameters>)};
Microsoft.ML.Sweeper (8)
Algorithms\SmacSweeper.cs (8)
106FastForestRegressionModelParameters forestPredictor = FitModel(viableRuns); 112private FastForestRegressionModelParameters FitModel(IEnumerable<IRunResult> previousRuns) 162private ParameterSet[] GenerateCandidateConfigurations(int numOfCandidates, IEnumerable<IRunResult> previousRuns, FastForestRegressionModelParameters forest) 190private ParameterSet[] GreedyPlusRandomSearch(ParameterSet[] parents, FastForestRegressionModelParameters forest, int numOfCandidates, IEnumerable<IRunResult> previousRuns) 233private Tuple<double, ParameterSet> LocalSearch(ParameterSet parent, FastForestRegressionModelParameters forest, double bestVal, double epsilon) 334private double[][] GetForestRegressionLeafValues(FastForestRegressionModelParameters forest, ParameterSet[] configs) 371private double[] EvaluateConfigurationsByEI(FastForestRegressionModelParameters forest, double bestVal, ParameterSet[] configs) 378private ParameterSet[] GetKBestConfigurations(IEnumerable<IRunResult> previousRuns, FastForestRegressionModelParameters forest, int k = 10)