"type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.naive_bayes.GaussianNB#sklearn-naive_bayes-gaussiannb", "import_from": "sklearn.naive_bayes", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_predict_proba": _input_predict_proba_schema, "output_predict_proba": _output_predict_proba_schema, }, } GaussianNB = make_operator(_GaussianNBImpl, _combined_schemas) set_docstrings(GaussianNB)
"description": "Transform new points into embedding space.", "type": "object", "required": ["X"], "properties": { "X": {"type": "array", "items": {"type": "array", "items": {"type": "number"}}} }, } _output_transform_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Transform new points into embedding space.", "type": "array", "items": {"type": "array", "items": {"type": "number"}}, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.manifold.LocallyLinearEmbedding#sklearn-manifold-locallylinearembedding", "import_from": "sklearn.manifold", "type": "object", "tags": {"pre": [], "op": ["transformer"], "post": []}, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } LocallyLinearEmbedding = make_operator(_LocallyLinearEmbeddingImpl, _combined_schemas) set_docstrings(LocallyLinearEmbedding)
"$schema": "http://json-schema.org/draft-04/schema#", "description": "Returns predicted values.", "type": "array", "items": { "type": "number" }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV#sklearn-linear_model-multitaskelasticnetcv", "import_from": "sklearn.linear_model", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } MultiTaskElasticNetCV = make_operator(_MultiTaskElasticNetCVImpl, _combined_schemas) set_docstrings(MultiTaskElasticNetCV)
"$schema": "http://json-schema.org/draft-04/schema#", "description": "Returns predicted values.", "type": "array", "items": { "type": "number" }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit#sklearn-linear_model-orthogonalmatchingpursuit", "import_from": "sklearn.linear_model", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } OrthogonalMatchingPursuit = make_operator(_OrthogonalMatchingPursuitImpl, _combined_schemas) set_docstrings(OrthogonalMatchingPursuit)
"description": "Transform X.", "type": "array", "items": { "type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.manifold.Isomap#sklearn-manifold-isomap", "import_from": "sklearn.manifold", "type": "object", "tags": { "pre": [], "op": ["transformer"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } set_docstrings(IsomapImpl, _combined_schemas) Isomap = make_operator(IsomapImpl, _combined_schemas)
"description": "Apply approximate feature map to X.", "type": "object", "required": ["X"], "properties": { "X": {"type": "array", "items": {"type": "array", "items": {"type": "number"}}} }, } _output_transform_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Whether the return value is an array of sparse matrix depends on the type of the input X.", "laleType": "Any", "XXX TODO XXX": "{array, sparse matrix}, shape = (n_samples, n_features * (2*sample_steps + 1))", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler#sklearn-kernel_approximation-additivechi2sampler", "import_from": "sklearn.kernel_approximation", "type": "object", "tags": {"pre": [], "op": ["transformer"], "post": []}, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } AdditiveChi2Sampler = make_operator(_AdditiveChi2SamplerImpl, _combined_schemas) set_docstrings(AdditiveChi2Sampler)
"items": { "type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.neural_network.MLPClassifier#sklearn-neural_network-mlpclassifier", "import_from": "sklearn.neural_network", "type": "object", "tags": { "pre": [], "op": ["estimator", "classifier"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_predict_proba": _input_predict_proba_schema, "output_predict_proba": _output_predict_proba_schema, }, } set_docstrings(MLPClassifierImpl, _combined_schemas) MLPClassifier = make_operator(MLPClassifierImpl, _combined_schemas)
} _output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Returns predicted values.", "type": "array", "items": { "type": "number" }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.svm.LinearSVR#sklearn-svm-linearsvr", "import_from": "sklearn.svm", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } set_docstrings(LinearSVRImpl, _combined_schemas) LinearSVR = make_operator(LinearSVRImpl, _combined_schemas)
"type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.semi_supervised.LabelPropagation#sklearn-semi_supervised-labelpropagation", "import_from": "sklearn.semi_supervised", "type": "object", "tags": { "pre": [], "op": ["estimator", "classifier"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_predict_proba": _input_predict_proba_schema, "output_predict_proba": _output_predict_proba_schema, }, } LabelPropagation = make_operator(_LabelPropagationImpl, _combined_schemas) set_docstrings(LabelPropagation)
"type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier#sklearn-gaussian_process-gaussianprocessclassifier", "import_from": "sklearn.gaussian_process", "type": "object", "tags": { "pre": [], "op": ["estimator", "classifier"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_predict_proba": _input_predict_proba_schema, "output_predict_proba": _output_predict_proba_schema, }, } set_docstrings(GaussianProcessClassifierImpl, _combined_schemas) GaussianProcessClassifier = make_operator(GaussianProcessClassifierImpl, _combined_schemas)
"$schema": "http://json-schema.org/draft-04/schema#", "description": "Index of the cluster each sample belongs to.", "type": "array", "items": { "type": "number" }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.cluster.MiniBatchKMeans#sklearn-cluster-minibatchkmeans", "import_from": "sklearn.cluster", "type": "object", "tags": { "pre": [], "op": ["transformer", "estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } set_docstrings(MiniBatchKMeansImpl, _combined_schemas) MiniBatchKMeans = make_operator(MiniBatchKMeansImpl, _combined_schemas)
} _output_transform_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "The missing indicator for input data", "laleType": "Any", "XXX TODO XXX": "{ndarray or sparse matrix}, shape (n_samples, n_features)", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.impute.MissingIndicator#sklearn-impute-missingindicator", "import_from": "sklearn.impute", "type": "object", "tags": { "pre": [], "op": ["transformer"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } MissingIndicator = make_operator(_MissingIndicatorImpl, _combined_schemas) set_docstrings(MissingIndicator)
}, }, } _output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Predict using the linear model.", "laleType": "Any", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.linear_model.ARDRegression#sklearn-linear_model-ardregression", "import_from": "sklearn.linear_model", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } ARDRegression = make_operator(_ARDRegressionImpl, _combined_schemas) set_docstrings(ARDRegression)
"$schema": "http://json-schema.org/draft-04/schema#", "description": "Index of the cluster each sample belongs to.", "type": "array", "items": { "type": "number" }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.cluster.KMeans#sklearn-cluster-kmeans", "import_from": "sklearn.cluster", "type": "object", "tags": { "pre": [], "op": ["transformer", "estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } set_docstrings(KMeansImpl, _combined_schemas) KMeans = make_operator(KMeansImpl, _combined_schemas)
"items": {"type": "array", "items": {"type": "number"}}, }, ], "description": "Samples.", } }, } _output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Returns predicted values.", "type": "array", "items": {"type": "number"}, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.linear_model.LassoCV#sklearn-linear_model-lassocv", "import_from": "sklearn.linear_model", "type": "object", "tags": {"pre": [], "op": ["estimator", "regressor"], "post": []}, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } LassoCV = make_operator(_LassoCVImpl, _combined_schemas) set_docstrings(LassoCV)
"items": { "type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.semi_supervised.LabelSpreading#sklearn-semi_supervised-labelspreading", "import_from": "sklearn.semi_supervised", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_predict_proba": _input_predict_proba_schema, "output_predict_proba": _output_predict_proba_schema, }, } set_docstrings(LabelSpreadingImpl, _combined_schemas) LabelSpreading = make_operator(LabelSpreadingImpl, _combined_schemas)
"description": "The data used to scale along the specified axis.", } }, } _output_transform_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Center and scale the data.", "laleType": "Any", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.preprocessing.RobustScaler#sklearn-preprocessing-robustscaler", "import_from": "sklearn.preprocessing", "type": "object", "tags": { "pre": [], "op": ["transformer"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } set_docstrings(RobustScalerImpl, _combined_schemas) RobustScaler = make_operator(RobustScalerImpl, _combined_schemas)
], "description": "Samples.", } }, } _output_decision_function_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Confidence scores per (sample, class) combination", "laleType": "Any", "XXX TODO XXX": "array, shape=(n_samples,) if n_classes == 2 else (n_samples, n_classes)", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.linear_model.RidgeClassifierCV#sklearn-linear_model-ridgeclassifiercv", "import_from": "sklearn.linear_model", "type": "object", "tags": {"pre": [], "op": ["estimator"], "post": []}, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_decision_function": _input_decision_function_schema, "output_decision_function": _output_decision_function_schema, }, } RidgeClassifierCV = make_operator(_RidgeClassifierCVImpl, _combined_schemas) set_docstrings(RidgeClassifierCV)
"type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.naive_bayes.ComplementNB#sklearn-naive_bayes-complementnb", "import_from": "sklearn.naive_bayes", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_predict_proba": _input_predict_proba_schema, "output_predict_proba": _output_predict_proba_schema, }, } ComplementNB = make_operator(_ComplementNBImpl, _combined_schemas) set_docstrings(ComplementNB)
"Returns the decision function of the sample for each class in the model", "laleType": "Any", "XXX TODO XXX": "array-like, shape (n_samples, n_classes * (n_classes-1) / 2)", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.svm.NuSVC#sklearn-svm-nusvc", "import_from": "sklearn.svm", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_predict_proba": _input_predict_proba_schema, "output_predict_proba": _output_predict_proba_schema, "input_decision_function": _input_decision_function_schema, "output_decision_function": _output_decision_function_schema, }, } set_docstrings(NuSVCImpl, _combined_schemas) NuSVC = make_operator(NuSVCImpl, _combined_schemas)
"description": "Latent representations of the data.", "type": "array", "items": { "type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.neural_network.BernoulliRBM#sklearn-neural_network-bernoullirbm", "import_from": "sklearn.neural_network", "type": "object", "tags": { "pre": [], "op": ["transformer"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } set_docstrings(BernoulliRBMImpl, _combined_schemas) BernoulliRBM = make_operator(BernoulliRBMImpl, _combined_schemas)
"items": {"type": "array", "items": {"type": "number"}}, "description": "Samples", } }, } _output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Returns predicted values.", "anyOf": [ {"type": "array", "items": {"type": "number"}}, {"type": "array", "items": {"type": "array", "items": {"type": "number"}}}, ], } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.kernel_ridge.KernelRidge#sklearn-kernel_ridge-kernelridge", "import_from": "sklearn.kernel_ridge", "type": "object", "tags": {"pre": [], "op": ["estimator"], "post": []}, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } KernelRidge = make_operator(_KernelRidgeImpl, _combined_schemas) set_docstrings(KernelRidge)
"items": {"type": "array", "items": {"type": "number"}}, }, ], "description": "Samples.", } }, } _output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Returns predicted values.", "type": "array", "items": {"type": "number"}, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.linear_model.LinearRegression#sklearn-linear_model-linearregression", "import_from": "sklearn.linear_model", "type": "object", "tags": {"pre": [], "op": ["estimator"], "post": []}, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } LinearRegression = make_operator(_LinearRegressionImpl, _combined_schemas) set_docstrings(LinearRegression)
"Confidence scores per (sample, class) combination", "laleType": "Any", "XXX TODO XXX": "array, shape=(n_samples,) if n_classes == 2 else (n_samples, n_classes)", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.svm.LinearSVC#sklearn-svm-linearsvc", "import_from": "sklearn.svm", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, "input_decision_function": _input_decision_function_schema, "output_decision_function": _output_decision_function_schema, }, } LinearSVC = make_operator(_LinearSVCImpl, _combined_schemas) set_docstrings(LinearSVC)
"type": "array", "items": { "type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.decomposition.DictionaryLearning#sklearn-decomposition-dictionarylearning", "import_from": "sklearn.decomposition", "type": "object", "tags": { "pre": [], "op": ["transformer"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } DictionaryLearning = make_operator(_DictionaryLearningImpl, _combined_schemas) set_docstrings(DictionaryLearning)
} _output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Returns predicted values.", "type": "array", "items": { "type": "number" }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.linear_model.LinearRegression#sklearn-linear_model-linearregression", "import_from": "sklearn.linear_model", "type": "object", "tags": { "pre": [], "op": ["estimator"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } set_docstrings(LinearRegressionImpl, _combined_schemas) LinearRegression = make_operator(LinearRegressionImpl, _combined_schemas)
_output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Predicted values.", "type": "array", "items": { "type": "number" }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.compose.TransformedTargetRegressor#sklearn-compose-transformedtargetregressor", "import_from": "sklearn.compose", "type": "object", "tags": { "pre": [], "op": ["estimator", "regressor"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } set_docstrings(TransformedTargetRegressorImpl, _combined_schemas) TransformedTargetRegressor = make_operator(TransformedTargetRegressorImpl, _combined_schemas)
"copy": { "type": "boolean", "default": True, "description": "Whether to copy X and Y, or perform in-place normalization.", }, }, } _output_predict_schema = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Apply the dimension reduction learned on the train data.", "laleType": "Any", } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.cross_decomposition.PLSRegression#sklearn-cross_decomposition-plsregression", "import_from": "sklearn.cross_decomposition", "type": "object", "tags": {"pre": [], "op": ["transformer", "estimator"], "post": []}, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } set_docstrings(PLSRegressionImpl, _combined_schemas) PLSRegression = make_operator(PLSRegressionImpl, _combined_schemas)
"items": { "type": "array", "items": { "type": "number" } } }, ], } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.ensemble.ExtraTreesRegressor#sklearn-ensemble-extratreesregressor", "import_from": "sklearn.ensemble", "type": "object", "tags": { "pre": [], "op": ["estimator", "regressor"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_predict": _input_predict_schema, "output_predict": _output_predict_schema, }, } set_docstrings(ExtraTreesRegressorImpl, _combined_schemas) ExtraTreesRegressor = make_operator(ExtraTreesRegressorImpl, _combined_schemas)
"type": "array", "items": { "type": "array", "items": { "type": "number" } }, } _combined_schemas = { "$schema": "http://json-schema.org/draft-04/schema#", "description": "Combined schema for expected data and hyperparameters.", "documentation_url": "https://scikit-learn.org/0.20/modules/generated/sklearn.preprocessing.PowerTransformer#sklearn-preprocessing-powertransformer", "import_from": "sklearn.preprocessing", "type": "object", "tags": { "pre": [], "op": ["transformer"], "post": [] }, "properties": { "hyperparams": _hyperparams_schema, "input_fit": _input_fit_schema, "input_transform": _input_transform_schema, "output_transform": _output_transform_schema, }, } PowerTransformer = make_operator(_PowerTransformerImpl, _combined_schemas) set_docstrings(PowerTransformer)