Snowpark ML API Reference (Python)¶
Snowpark ML is a set of tools for creating and working with machine learning models in Python on Snowflake. See the Snowpark ML Developer Guide for more information.
Acknowledgements¶
Portions of the Snowpark ML API Reference are derived from scikit-learn, xgboost, and lightgbm documentation.
scikit-learn Copyright © 2007-2023 The scikit-learn developers. All rights reserved.
xgboost Copyright © 2019 by xgboost contributors.
lightgbm Copyright © Microsoft Corporation.
Table of Contents¶
- snowflake.ml.modeling
- snowflake.ml.modeling.calibration
- snowflake.ml.modeling.cluster
- snowflake.ml.modeling.cluster.AffinityPropagation
- snowflake.ml.modeling.cluster.AgglomerativeClustering
- snowflake.ml.modeling.cluster.Birch
- snowflake.ml.modeling.cluster.BisectingKMeans
- snowflake.ml.modeling.cluster.DBSCAN
- snowflake.ml.modeling.cluster.FeatureAgglomeration
- snowflake.ml.modeling.cluster.KMeans
- snowflake.ml.modeling.cluster.MeanShift
- snowflake.ml.modeling.cluster.MiniBatchKMeans
- snowflake.ml.modeling.cluster.OPTICS
- snowflake.ml.modeling.cluster.SpectralBiclustering
- snowflake.ml.modeling.cluster.SpectralClustering
- snowflake.ml.modeling.cluster.SpectralCoclustering
- snowflake.ml.modeling.compose
- snowflake.ml.modeling.covariance
- snowflake.ml.modeling.covariance.EllipticEnvelope
- snowflake.ml.modeling.covariance.EmpiricalCovariance
- snowflake.ml.modeling.covariance.GraphicalLasso
- snowflake.ml.modeling.covariance.GraphicalLassoCV
- snowflake.ml.modeling.covariance.LedoitWolf
- snowflake.ml.modeling.covariance.MinCovDet
- snowflake.ml.modeling.covariance.OAS
- snowflake.ml.modeling.covariance.ShrunkCovariance
- snowflake.ml.modeling.decomposition
- snowflake.ml.modeling.decomposition.DictionaryLearning
- snowflake.ml.modeling.decomposition.FactorAnalysis
- snowflake.ml.modeling.decomposition.FastICA
- snowflake.ml.modeling.decomposition.IncrementalPCA
- snowflake.ml.modeling.decomposition.KernelPCA
- snowflake.ml.modeling.decomposition.MiniBatchDictionaryLearning
- snowflake.ml.modeling.decomposition.MiniBatchSparsePCA
- snowflake.ml.modeling.decomposition.PCA
- snowflake.ml.modeling.decomposition.SparsePCA
- snowflake.ml.modeling.decomposition.TruncatedSVD
- snowflake.ml.modeling.discriminant_analysis
- snowflake.ml.modeling.ensemble
- snowflake.ml.modeling.ensemble.AdaBoostClassifier
- snowflake.ml.modeling.ensemble.AdaBoostRegressor
- snowflake.ml.modeling.ensemble.BaggingClassifier
- snowflake.ml.modeling.ensemble.BaggingRegressor
- snowflake.ml.modeling.ensemble.ExtraTreesClassifier
- snowflake.ml.modeling.ensemble.ExtraTreesRegressor
- snowflake.ml.modeling.ensemble.GradientBoostingClassifier
- snowflake.ml.modeling.ensemble.GradientBoostingRegressor
- snowflake.ml.modeling.ensemble.HistGradientBoostingClassifier
- snowflake.ml.modeling.ensemble.HistGradientBoostingRegressor
- snowflake.ml.modeling.ensemble.IsolationForest
- snowflake.ml.modeling.ensemble.RandomForestClassifier
- snowflake.ml.modeling.ensemble.RandomForestRegressor
- snowflake.ml.modeling.ensemble.StackingRegressor
- snowflake.ml.modeling.ensemble.VotingClassifier
- snowflake.ml.modeling.ensemble.VotingRegressor
- snowflake.ml.modeling.feature_selection
- snowflake.ml.modeling.feature_selection.GenericUnivariateSelect
- snowflake.ml.modeling.feature_selection.SelectFdr
- snowflake.ml.modeling.feature_selection.SelectFpr
- snowflake.ml.modeling.feature_selection.SelectFwe
- snowflake.ml.modeling.feature_selection.SelectKBest
- snowflake.ml.modeling.feature_selection.SelectPercentile
- snowflake.ml.modeling.feature_selection.SequentialFeatureSelector
- snowflake.ml.modeling.feature_selection.VarianceThreshold
- snowflake.ml.modeling.gaussian_process
- snowflake.ml.modeling.impute
- snowflake.ml.modeling.kernel_approximation
- snowflake.ml.modeling.kernel_ridge
- snowflake.ml.modeling.lightgbm
- snowflake.ml.modeling.linear_model
- snowflake.ml.modeling.linear_model.ARDRegression
- snowflake.ml.modeling.linear_model.BayesianRidge
- snowflake.ml.modeling.linear_model.ElasticNet
- snowflake.ml.modeling.linear_model.ElasticNetCV
- snowflake.ml.modeling.linear_model.GammaRegressor
- snowflake.ml.modeling.linear_model.HuberRegressor
- snowflake.ml.modeling.linear_model.Lars
- snowflake.ml.modeling.linear_model.LarsCV
- snowflake.ml.modeling.linear_model.Lasso
- snowflake.ml.modeling.linear_model.LassoCV
- snowflake.ml.modeling.linear_model.LassoLars
- snowflake.ml.modeling.linear_model.LassoLarsCV
- snowflake.ml.modeling.linear_model.LassoLarsIC
- snowflake.ml.modeling.linear_model.LinearRegression
- snowflake.ml.modeling.linear_model.LogisticRegression
- snowflake.ml.modeling.linear_model.LogisticRegressionCV
- snowflake.ml.modeling.linear_model.MultiTaskElasticNet
- snowflake.ml.modeling.linear_model.MultiTaskElasticNetCV
- snowflake.ml.modeling.linear_model.MultiTaskLasso
- snowflake.ml.modeling.linear_model.MultiTaskLassoCV
- snowflake.ml.modeling.linear_model.OrthogonalMatchingPursuit
- snowflake.ml.modeling.linear_model.PassiveAggressiveClassifier
- snowflake.ml.modeling.linear_model.PassiveAggressiveRegressor
- snowflake.ml.modeling.linear_model.Perceptron
- snowflake.ml.modeling.linear_model.PoissonRegressor
- snowflake.ml.modeling.linear_model.RANSACRegressor
- snowflake.ml.modeling.linear_model.Ridge
- snowflake.ml.modeling.linear_model.RidgeClassifier
- snowflake.ml.modeling.linear_model.RidgeClassifierCV
- snowflake.ml.modeling.linear_model.RidgeCV
- snowflake.ml.modeling.linear_model.SGDClassifier
- snowflake.ml.modeling.linear_model.SGDOneClassSVM
- snowflake.ml.modeling.linear_model.SGDRegressor
- snowflake.ml.modeling.linear_model.TheilSenRegressor
- snowflake.ml.modeling.linear_model.TweedieRegressor
- snowflake.ml.modeling.manifold
- snowflake.ml.modeling.metrics
- snowflake.ml.modeling.metrics.accuracy_score
- snowflake.ml.modeling.metrics.confusion_matrix
- snowflake.ml.modeling.metrics.correlation
- snowflake.ml.modeling.metrics.covariance
- snowflake.ml.modeling.metrics.d2_absolute_error_score
- snowflake.ml.modeling.metrics.d2_pinball_score
- snowflake.ml.modeling.metrics.explained_variance_score
- snowflake.ml.modeling.metrics.f1_score
- snowflake.ml.modeling.metrics.fbeta_score
- snowflake.ml.modeling.metrics.log_loss
- snowflake.ml.modeling.metrics.mean_absolute_error
- snowflake.ml.modeling.metrics.mean_absolute_percentage_error
- snowflake.ml.modeling.metrics.mean_squared_error
- snowflake.ml.modeling.metrics.precision_recall_curve
- snowflake.ml.modeling.metrics.precision_recall_fscore_support
- snowflake.ml.modeling.metrics.precision_score
- snowflake.ml.modeling.metrics.r2_score
- snowflake.ml.modeling.metrics.recall_score
- snowflake.ml.modeling.metrics.roc_auc_score
- snowflake.ml.modeling.metrics.roc_curve
- snowflake.ml.modeling.mixture
- snowflake.ml.modeling.model_selection
- snowflake.ml.modeling.multiclass
- snowflake.ml.modeling.naive_bayes
- snowflake.ml.modeling.neighbors
- snowflake.ml.modeling.neural_network
- snowflake.ml.modeling.pipeline
- snowflake.ml.modeling.preprocessing
- snowflake.ml.modeling.preprocessing.StandardScaler
- snowflake.ml.modeling.preprocessing.OrdinalEncoder
- snowflake.ml.modeling.preprocessing.MinMaxScaler
- snowflake.ml.modeling.preprocessing.LabelEncoder
- snowflake.ml.modeling.preprocessing.RobustScaler
- snowflake.ml.modeling.preprocessing.KBinsDiscretizer
- snowflake.ml.modeling.preprocessing.MaxAbsScaler
- snowflake.ml.modeling.preprocessing.Normalizer
- snowflake.ml.modeling.preprocessing.OneHotEncoder
- snowflake.ml.modeling.preprocessing.Binarizer
- snowflake.ml.modeling.preprocessing.PolynomialFeatures
- snowflake.ml.modeling.semi_supervised
- snowflake.ml.modeling.svm
- snowflake.ml.modeling.tree
- snowflake.ml.modeling.xgboost
- snowflake.ml.fileset
- snowflake.ml.model
- snowflake.ml.registry