"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)
