# classification
pyspark.ml.classification.LinearSVCModel
pyspark.ml.classification.DecisionTreeClassificationModel
pyspark.ml.classification.GBTClassificationModel
pyspark.ml.classification.LogisticRegressionModel
pyspark.ml.classification.RandomForestClassificationModel
pyspark.ml.classification.NaiveBayesModel

# clustering
pyspark.ml.clustering.BisectingKMeansModel
pyspark.ml.clustering.KMeansModel
pyspark.ml.clustering.GaussianMixtureModel

# Regression
pyspark.ml.regression.AFTSurvivalRegressionModel
pyspark.ml.regression.DecisionTreeRegressionModel
pyspark.ml.regression.GBTRegressionModel
pyspark.ml.regression.GeneralizedLinearRegressionModel
pyspark.ml.regression.LinearRegressionModel
pyspark.ml.regression.RandomForestRegressionModel

# Featurizer model
pyspark.ml.feature.BucketedRandomProjectionLSHModel
pyspark.ml.feature.ChiSqSelectorModel
pyspark.ml.feature.CountVectorizerModel
pyspark.ml.feature.IDFModel
pyspark.ml.feature.ImputerModel
pyspark.ml.feature.MaxAbsScalerModel
pyspark.ml.feature.MinHashLSHModel
pyspark.ml.feature.MinMaxScalerModel
pyspark.ml.feature.OneHotEncoderModel
pyspark.ml.feature.RobustScalerModel
pyspark.ml.feature.RFormulaModel
pyspark.ml.feature.StandardScalerModel
pyspark.ml.feature.StringIndexerModel
pyspark.ml.feature.VarianceThresholdSelectorModel
pyspark.ml.feature.VectorIndexerModel
pyspark.ml.feature.UnivariateFeatureSelectorModel

# composite model
pyspark.ml.classification.OneVsRestModel

# pipeline model
pyspark.ml.pipeline.PipelineModel

# Hyper-parameter tuning
pyspark.ml.tuning.CrossValidatorModel
pyspark.ml.tuning.TrainValidationSplitModel

# SynapseML model
synapse.ml.*