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sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,truncatedsvd=sklearn.decomposition._truncated_svd.TruncatedSVD),cont=sklearn.impute._base.SimpleImputer) (1)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,truncatedsvd=sklearn.decomposition._truncated_svd.TruncatedSVD) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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sklearn.decomposition._truncated_svd.TruncatedSVD (1)
Dimensionality reduction using truncated SVD (aka LSA). This transformer performs linear dimensionality reduction by means of truncated singular value decomposition (SVD). Contrary to PCA, this…
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sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer) (1)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,truncatedsvd=sklearn.decomposition._truncated_svd.TruncatedSVD),cont=sklearn.impute._base.SimpleImputer) (2)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,truncatedsvd=sklearn.decomposition._truncated_svd.TruncatedSVD) (2)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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sklearn.preprocessing._encoders.OneHotEncoder (11)
Encode categorical features as a one-hot numeric array. The input to this transformer should be an array-like of integers or strings, denoting the values taken on by categorical (discrete) features.…
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sklearn.decomposition._truncated_svd.TruncatedSVD (2)
Dimensionality reduction using truncated SVD (aka LSA). This transformer performs linear dimensionality reduction by means of truncated singular value decomposition (SVD). Contrary to PCA, this…
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sklearn.impute._base.SimpleImputer (11)
Univariate imputer for completing missing values with simple strategies. Replace missing values using a descriptive statistic (e.g. mean, median, or most frequent) along each column, or using a…
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sklearn.pipeline.Pipeline(transform=sklearn.compose._column_transformer.ColumnTransformer(cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,truncatedsvd=sklearn.decomposition._truncated_svd.TruncatedSVD),cont=sklearn.impute._base.SimpleImputer),estimator=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
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sklearn.neighbors._classification.KNeighborsClassifier (1)
Classifier implementing the k-nearest neighbors vote.
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sklearn.pipeline.Pipeline(Preprocessing=sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer),Classifier=sklearn.ensemble._forest.RandomForestClassifier) (1)
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement…
131 runs0 likes0 downloads0 reach0 impact
sklearn.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer) (2)
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed separately and the features generated by each…
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sklearn.neighbors._classification.KNeighborsClassifier (4)
Classifier implementing the k-nearest neighbors vote.
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sklearn.ensemble._forest.ExtraTreesClassifier (1)
An extra-trees classifier. This class implements a meta estimator that fits a number of randomized decision trees (a.k.a. extra-trees) on various sub-samples of the dataset and uses averaging to…
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torch.nn.BatchNorm2d.ac5b527afb562c5b (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.ab9e520ced718ccb (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.27c7df07e167cc6c (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.eed954439364ed (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.ef48e2b86e77e3c0 (1)
Automatically created pytorch flow.
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torch.nn.ReLU.6e87958815a42129 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.437ea08f6e721e78 (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.1e379120f4581e6f (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.43f9cdcf896adeda (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.62a47860c092cd8f (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.b5c53ac16accfaae (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.f4f8a605c44e88f (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.9fe4f4125830d5a0 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.30513c21a3c29d2f (1)
Automatically created pytorch flow.
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torch.nn.Sequential.aca70b9e5966700a (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.387dcdae7e5f0c62 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.4b944a61b51a0f7 (1)
Automatically created pytorch flow.
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torch.nn.ReLU.3c189c0791adabd9 (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.4d385d59a6696b4d (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.b9b47f3c8bc80210 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.9d3a73e18fec6951 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.a46f55c09eebbc6e (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.a7568fef84e5a32 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.f676d6b94fea7274 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.196cbb638e8f2f05 (1)
Automatically created pytorch flow.
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torch.nn.ReLU.4e7689bbd729f4cd (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.1131fc9c18167246 (1)
Automatically created pytorch flow.
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torch.nn.ReLU.778ba0f99b68e75b (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.bf1a758f7b3e9f6f (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.5f35e870fbccb917 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.a35cd068b2c90fca (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.7ac13416eff123bc (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.28eae7e61b194549 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.4425e7545e5c570 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.d42140fdcf6cc083 (1)
Automatically created pytorch flow.
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torch.nn.ReLU.3288cb717076fdd3 (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.335581bc72e134f9 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.f5588ce632a5cbe5 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.8bf8137dc04ff5f1 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.55076367f18fb284 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.59029d71109e5a4b (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.d0314d61937b776e (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.fe46122d88f8e6 (1)
Automatically created pytorch flow.
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torch.nn.ReLU.5ae90460d98d1988 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.b1d7c96e4e99fa (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.b27a753e1cd26312 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.247dc66acb3689fd (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.eca084ed7610d5d9 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.eccccc57cc71dc1c (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.2f1e46c0c53e0b02 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.b4f9cefea3944688 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.33eb2841f46f4be7 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.4dbee3d45edd0e27 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.12b608e63c2a4a11 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.fa0e938f74d7644b (1)
Automatically created pytorch flow.
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torch.nn.ReLU.225811f617a4e521 (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.5924bbf1722f768b (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.bc2f26f3ca5648b (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.26fc222d3ed53931 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.4b3c29b922a3603f (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.2b00f14c4eb7469 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.7bb062bcc2dd5d59 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.9cd159194adc4a1d (1)
Automatically created pytorch flow.
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torch.nn.ReLU.c8b6156b216238bd (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.2cc7ce791044c6a2 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.ab59be34529ceb75 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.3efbcd305eeda38e (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.f04eb93cec0222f8 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.603e83e1e3eac7b5 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.d17b3fe63ef7b7b9 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.63877b859701716 (1)
Automatically created pytorch flow.
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torch.nn.ReLU.6b8e2a1ea5abf513 (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.ef0d4494cc446f38 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.3562b7fc2825ec92 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.95fea1ed9c7deaf (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.d74487162a8e4d5 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.c9634cc96734e7ce (1)
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torch.nn.Conv2d.95293992869925fa (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.7f2eccfbe83e90f (1)
Automatically created pytorch flow.
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torch.nn.ReLU.952a1007af2dabda (1)
Automatically created pytorch flow.
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torch.nn.Sequential.c4552cdce94f8ce2 (1)
Automatically created pytorch flow.
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torch.nn.Bottleneck.2cd9c72a55adfe2d (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.b75c3284325f4dde (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.2da714e2aed9a683 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.3fb173c5812d5c9 (1)
Automatically created pytorch flow.
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