Beispiel #1
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        public override IEstimator <ITransformer> BuildFromOption(MLContext context, LbfgsOption param)
        {
            var option = new LbfgsLogisticRegressionBinaryTrainer.Options()
            {
                L1Regularization        = param.L1Regularization,
                L2Regularization        = param.L2Regularization,
                LabelColumnName         = param.LabelColumnName,
                FeatureColumnName       = param.FeatureColumnName,
                ExampleWeightColumnName = param.ExampleWeightColumnName,
                NumberOfThreads         = AutoMlUtils.GetNumberOfThreadFromEnvrionment(),
            };

            return(context.BinaryClassification.Trainers.LbfgsLogisticRegression(option));
        }
Beispiel #2
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        /// <summary>
        /// Create a list of <see cref="SweepableEstimator"/> for regression.
        /// </summary>
        /// <param name="labelColumnName">label column name.</param>
        /// <param name="featureColumnName">feature column name.</param>
        /// <param name="exampleWeightColumnName">example weight column name.</param>
        /// <param name="useFastForest">true if use fast forest as available trainer.</param>
        /// <param name="useLgbm">true if use lgbm as available trainer.</param>
        /// <param name="useFastTree">true if use fast tree as available trainer.</param>
        /// <param name="useLbfgs">true if use lbfgs as available trainer.</param>
        /// <param name="useSdca">true if use sdca as available trainer.</param>
        /// <param name="fastTreeOption">if provided, use it as initial option for fast tree, otherwise the default option will be used.</param>
        /// <param name="lgbmOption">if provided, use it as initial option for lgbm, otherwise the default option will be used.</param>
        /// <param name="fastForestOption">if provided, use it as initial option for fast forest, otherwise the default option will be used.</param>
        /// <param name="lbfgsOption">if provided, use it as initial option for lbfgs, otherwise the default option will be used.</param>
        /// <param name="sdcaOption">if provided, use it as initial option for sdca, otherwise the default option will be used.</param>
        /// <param name="fastTreeSearchSpace">if provided, use it as search space for fast tree, otherwise the default search space will be used.</param>
        /// <param name="lgbmSearchSpace">if provided, use it as search space for lgbm, otherwise the default search space will be used.</param>
        /// <param name="fastForestSearchSpace">if provided, use it as search space for fast forest, otherwise the default search space will be used.</param>
        /// <param name="lbfgsSearchSpace">if provided, use it as search space for lbfgs, otherwise the default search space will be used.</param>
        /// <param name="sdcaSearchSpace">if provided, use it as search space for sdca, otherwise the default search space will be used.</param>
        /// <returns></returns>
        public SweepableEstimator[] Regression(string labelColumnName = DefaultColumnNames.Label, string featureColumnName = DefaultColumnNames.Features, string exampleWeightColumnName = null, bool useFastForest = true, bool useLgbm = true, bool useFastTree = true, bool useLbfgs = true, bool useSdca = true,
                                               FastTreeOption fastTreeOption = null, LgbmOption lgbmOption = null, FastForestOption fastForestOption = null, LbfgsOption lbfgsOption = null, SdcaOption sdcaOption = null,
                                               SearchSpace <FastTreeOption> fastTreeSearchSpace = null, SearchSpace <LgbmOption> lgbmSearchSpace = null, SearchSpace <FastForestOption> fastForestSearchSpace = null, SearchSpace <LbfgsOption> lbfgsSearchSpace = null, SearchSpace <SdcaOption> sdcaSearchSpace = null)
        {
            var res = new List <SweepableEstimator>();

            if (useFastTree)
            {
                fastTreeOption = fastTreeOption ?? new FastTreeOption();
                fastTreeOption.LabelColumnName         = labelColumnName;
                fastTreeOption.FeatureColumnName       = featureColumnName;
                fastTreeOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateFastTreeRegression(fastTreeOption, fastTreeSearchSpace ?? new SearchSpace <FastTreeOption>(fastTreeOption)));
            }

            if (useFastForest)
            {
                fastForestOption = fastForestOption ?? new FastForestOption();
                fastForestOption.LabelColumnName         = labelColumnName;
                fastForestOption.FeatureColumnName       = featureColumnName;
                fastForestOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateFastForestRegression(fastForestOption, fastForestSearchSpace ?? new SearchSpace <FastForestOption>(fastForestOption)));
            }

            if (useLgbm)
            {
                lgbmOption = lgbmOption ?? new LgbmOption();
                lgbmOption.LabelColumnName         = labelColumnName;
                lgbmOption.FeatureColumnName       = featureColumnName;
                lgbmOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateLightGbmRegression(lgbmOption, lgbmSearchSpace ?? new SearchSpace <LgbmOption>(lgbmOption)));
            }

            if (useLbfgs)
            {
                lbfgsOption = lbfgsOption ?? new LbfgsOption();
                lbfgsOption.LabelColumnName         = labelColumnName;
                lbfgsOption.FeatureColumnName       = featureColumnName;
                lbfgsOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateLbfgsPoissonRegressionRegression(lbfgsOption, lbfgsSearchSpace ?? new SearchSpace <LbfgsOption>(lbfgsOption)));
            }

            if (useSdca)
            {
                sdcaOption = sdcaOption ?? new SdcaOption();
                sdcaOption.LabelColumnName         = labelColumnName;
                sdcaOption.FeatureColumnName       = featureColumnName;
                sdcaOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateSdcaRegression(sdcaOption, sdcaSearchSpace ?? new SearchSpace <SdcaOption>(sdcaOption)));
            }

            return(res.ToArray());
        }
Beispiel #3
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        internal SweepableEstimator[] MultiClassification(string labelColumnName = DefaultColumnNames.Label, string featureColumnName = DefaultColumnNames.Features, string exampleWeightColumnName = null, bool useFastForest = true, bool useLgbm = true, bool useFastTree = true, bool useLbfgs = true, bool useSdca = true,
                                                          FastTreeOption fastTreeOption = null, LgbmOption lgbmOption = null, FastForestOption fastForestOption = null, LbfgsOption lbfgsOption = null, SdcaOption sdcaOption = null,
                                                          SearchSpace <FastTreeOption> fastTreeSearchSpace = null, SearchSpace <LgbmOption> lgbmSearchSpace = null, SearchSpace <FastForestOption> fastForestSearchSpace = null, SearchSpace <LbfgsOption> lbfgsSearchSpace = null, SearchSpace <SdcaOption> sdcaSearchSpace = null)
        {
            var res = new List <SweepableEstimator>();

            if (useFastTree)
            {
                fastTreeOption = fastTreeOption ?? new FastTreeOption();
                fastTreeOption.LabelColumnName         = labelColumnName;
                fastTreeOption.FeatureColumnName       = featureColumnName;
                fastTreeOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateFastTreeOva(fastTreeOption, fastTreeSearchSpace ?? new SearchSpace <FastTreeOption>()));
            }

            if (useFastForest)
            {
                fastForestOption = fastForestOption ?? new FastForestOption();
                fastForestOption.LabelColumnName         = labelColumnName;
                fastForestOption.FeatureColumnName       = featureColumnName;
                fastForestOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateFastForestOva(fastForestOption, fastForestSearchSpace ?? new SearchSpace <FastForestOption>()));
            }

            if (useLgbm)
            {
                lgbmOption = lgbmOption ?? new LgbmOption();
                lgbmOption.LabelColumnName         = labelColumnName;
                lgbmOption.FeatureColumnName       = featureColumnName;
                lgbmOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateLightGbmMulti(lgbmOption, lgbmSearchSpace ?? new SearchSpace <LgbmOption>()));
            }

            if (useLbfgs)
            {
                lbfgsOption = lbfgsOption ?? new LbfgsOption();
                lbfgsOption.LabelColumnName         = labelColumnName;
                lbfgsOption.FeatureColumnName       = featureColumnName;
                lbfgsOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateLbfgsLogisticRegressionOva(lbfgsOption, lbfgsSearchSpace ?? new SearchSpace <LbfgsOption>()));
                res.Add(SweepableEstimatorFactory.CreateLbfgsMaximumEntropyMulti(lbfgsOption, lbfgsSearchSpace ?? new SearchSpace <LbfgsOption>()));
            }

            if (useSdca)
            {
                sdcaOption = sdcaOption ?? new SdcaOption();
                sdcaOption.LabelColumnName         = labelColumnName;
                sdcaOption.FeatureColumnName       = featureColumnName;
                sdcaOption.ExampleWeightColumnName = exampleWeightColumnName;
                res.Add(SweepableEstimatorFactory.CreateSdcaMaximumEntropyMulti(sdcaOption, sdcaSearchSpace ?? new SearchSpace <SdcaOption>()));
                res.Add(SweepableEstimatorFactory.CreateSdcaLogisticRegressionOva(sdcaOption, sdcaSearchSpace ?? new SearchSpace <SdcaOption>()));
            }

            return(res.ToArray());
        }