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