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sklearn.ensemble._forest.RandomForestClassifier (45)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
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sklearn.ensemble._forest.RandomForestClassifier (44)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
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tensorflow.keras.src.engine.sequential.Sequential.faf20af1 (1)
Automatically created tensorflow flow.
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tensorflow.keras.src.engine.functional.Functional.44afdc78 (1)
Automatically created tensorflow flow.
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sklearn.neighbors._classification.KNeighborsClassifier (23)
Classifier implementing the k-nearest neighbors vote.
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sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (33)
A sequence of data transformers with an optional final predictor. `Pipeline` allows you to sequentially apply a list of transformers to preprocess the data and, if desired, conclude the sequence with…
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sklearn.impute._base.SimpleImputer (57)
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.tree._classes.DecisionTreeClassifier (49)
A decision tree classifier.
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sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=sklearn.tree._classes.DecisionTreeClassifier) (32)
A sequence of data transformers with an optional final predictor. `Pipeline` allows you to sequentially apply a list of transformers to preprocess the data and, if desired, conclude the sequence with…
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sklearn.impute._base.SimpleImputer (56)
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.tree._classes.DecisionTreeClassifier (48)
A decision tree classifier.
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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) (5)
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.compose._column_transformer.ColumnTransformer(categorical=sklearn.preprocessing._encoders.OneHotEncoder,continuous=sklearn.impute._base.SimpleImputer) (6)
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.ensemble._forest.RandomForestClassifier (43)
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
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torch.nn.InvertedResidual.d22dd78f84c40331 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.1feda6ba089730b (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.7d8d8dc642ed62dc (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.456a650dc0562c5e (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.d743748d114b4f7e (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.61ba1f2cab2a09f4 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.3eb4665cc8da968f (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.d59817fc56f92fc4 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.191befbfe9063fcf (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.44fb1cc811031fc9 (1)
Automatically created pytorch flow.
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torch.nn.InvertedResidual.e9523a34ff3f8168 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.ae567afc3109e376 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.dbfe2cf7f89b11ad (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.3d8f7a9ec382ec2e (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.c1be8b49907a3e61 (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.5802bd5ea4a59aff (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.bc38d1657157ffee (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.350eee6951fd92eb (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.f13c2b3649629e8c (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.574190a6ede0d7af (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.3ff1d31fb345daba (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.a8a4e41b5565ea3f (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.6f99b87d9914ae79 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.3ca8176f25303155 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.9fb1a0b175a6b99b (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.b40b5e7a895cf910 (1)
Automatically created pytorch flow.
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torch.nn.InvertedResidual.b3eb152be85d5575 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.9ee44b0b616b8f5 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.4c3a1708a930a895 (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.a886fb3b16da161 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.bc110042fbb6a1fa (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.48ce98e6cf2dfdb2 (1)
Automatically created pytorch flow.
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torch.nn.InvertedResidual.87560cb09670e0df (1)
Automatically created pytorch flow.
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torch.nn.Sequential.3dc46e015fabc6bf (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.859c92051ff3efc4 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.1e08e4b35f6e2295 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.9f812263897f2cdf (1)
Automatically created pytorch flow.
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torch.nn.InvertedResidual.4f05d2363de136fb (1)
Automatically created pytorch flow.
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torch.nn.Sequential.504b430bab24f666 (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.53e44296e069eb9c (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.5bd85730405f2e60 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.5da6c4321903fbd3 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.1211121d1916a3d6 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.9d3f7d1bc52a8930 (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.b7f5ae9020afca80 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.22e66080535a5381 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.35f4812f780f75d3 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.99331f707e316ef9 (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.e162b216f2453abd (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.dbaf726aa4fe9f46 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.88572129d04cd216 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.c00f0fa89c45cac8 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.e379caa347d56f8e (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.910c67b612b80c2d (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.20fa48792ee69f07 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.a98e76a3156f7667 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.3c6212731d542720 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.d3e5149cb668f327 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.dbfa9986ba0e0386 (1)
Automatically created pytorch flow.
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torch.nn.InvertedResidual.bd2ea58c1d8d8530 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.93a749eba9ebb40e (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.84fea656f74347bb (1)
Automatically created pytorch flow.
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torch.nn.InvertedResidual.490535bfb0a86714 (1)
Automatically created pytorch flow.
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torch.nn.Sequential.13b2eaf67fa3be2a (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.d12a7e8d4ce9e077 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.c06e3e8ef4be9c4c (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.dc7fddc0327b6aaf (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.dad6facea9970a7d (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.f3369c71212c2ce8 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.b5cb85426f5ac7a7 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.c4b10cb1c2c3a4c1 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.61877bcef9ca3b35 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.741b0e1b239779a (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.3abff818eae04c86 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.7eead612cda4d7e0 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.d9d638aa144c25a6 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.a1e0a65ad09e29 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.eae253ecc577e032 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.bb1a2bb1eccda0d9 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.b31e01e44c9c6459 (1)
Automatically created pytorch flow.
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torch.nn.Conv2d.24935440d761f8f6 (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.fc48492d1d1ab61a (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.5c50c855400fc4b9 (1)
Automatically created pytorch flow.
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torch.nn.Conv2dNormActivation.89ec085886de20cc (1)
Automatically created pytorch flow.
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torch.nn.BatchNorm2d.cb55104a942370c9 (1)
Automatically created pytorch flow.
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torch.nn.ReLU6.37c9cc82a3ab22fd (1)
Automatically created pytorch flow.
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