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33 changes: 33 additions & 0 deletions
33
mlblocks_pipelines/keras.Sequential.SingleLayerCNNImagelClassifier.json
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{ | ||
"metadata": { | ||
"name": "keras.Sequential.SingleLayerCNNImageClassifier", | ||
"data_type": "image", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "usps", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"mlprimitives.counters.UniqueCounter", | ||
"keras.Sequential.SingleLayerCNNImageClassifier" | ||
], | ||
"input_names": { | ||
"mlprimitives.counters.UniqueCounter#1": { | ||
"X": "y" | ||
} | ||
}, | ||
"output_names": { | ||
"mlprimitives.counters.UniqueCounter#1": { | ||
"counts": "classes" | ||
} | ||
}, | ||
"init_params": { | ||
"mlprimitives.counters.UniqueCounter#1": { | ||
"add": 1 | ||
}, | ||
"keras.Sequential.SingleLayerCNNImageClassifier#1": { | ||
"epochs": 5 | ||
} | ||
} | ||
} |
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mlblocks_pipelines/multi_table.classification.default.json
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{ | ||
"metadata": { | ||
"name": "multi_table/classification/default", | ||
"data_type": "multi_table", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "wikiqa", | ||
"context": { | ||
"entities": "$entities", | ||
"relationships": "$relationships", | ||
"target_entity": "data" | ||
} | ||
}, | ||
"primitives": [ | ||
"mlprimitives.preprocessing.ClassEncoder", | ||
"featuretools.dfs", | ||
"xgboost.XGBClassifier", | ||
"mlprimitives.preprocessing.ClassDecoder" | ||
], | ||
"hyperparameters": { | ||
"featuretools.dfs#1": { | ||
"encode": true | ||
}, | ||
"xgboost.XGBClassifier#1": { | ||
"n_jobs": -1, | ||
"learning_rate": 0.1, | ||
"n_estimators": 300, | ||
"max_depth": 3, | ||
"gamma": 0, | ||
"min_child_weight": 1 | ||
} | ||
} | ||
} |
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...lines/tabular.classification.default.json → .../single_table.classification.default.json
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20 changes: 20 additions & 0 deletions
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mlblocks_pipelines/sklearn.decomposition.DictionaryLearning.json
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{ | ||
"metadata": { | ||
"name": "FactorAnalysis/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.decomposition.DictionaryLearning", | ||
"sklearn.decomposition.FactorAnalysis", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.RandomForestClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.decomposition.FactorAnalysis#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.decomposition.FactorAnalysis.json
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{ | ||
"metadata": { | ||
"name": "FactorAnalysis/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.decomposition.DictionaryLearning", | ||
"sklearn.decomposition.FactorAnalysis", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.RandomForestClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.decomposition.FactorAnalysis#1": {} | ||
} | ||
} |
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{ | ||
"metadata": { | ||
"name": "FastICA/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.decomposition.DictionaryLearning", | ||
"sklearn.decomposition.FastICA", | ||
"sklearn.ensemble.RandomForestClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.decomposition.FastICA#1": {} | ||
} | ||
} |
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{ | ||
"metadata": { | ||
"name": "KernelPCA/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.decomposition.KernelPCA", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.RandomForestClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.decomposition.KernelPCA#1": {} | ||
} | ||
} |
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{ | ||
"metadata": { | ||
"name": "PCA/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.decomposition.DictionaryLearning", | ||
"sklearn.decomposition.PCA", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.RandomForestClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.decomposition.PCA#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.decomposition.TruncatedSVD.json
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{ | ||
"metadata": { | ||
"name": "TruncatedSVD/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.decomposition.DictionaryLearning", | ||
"sklearn.decomposition.TruncatedSVD", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.RandomForestClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.decomposition.TruncatedSVD#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.ensemble.AdaBoostClassifier.json
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{ | ||
"metadata": { | ||
"name": "AdaBoostClassifier/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"mlprimitives.preprocessing.ClassEncoder", | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.AdaBoostClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.AdaBoostClassifier#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.ensemble.AdaBoostRegressor.json
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{ | ||
"metadata": { | ||
"name": "AdaBoostRegressor/regression/default", | ||
"data_type": "tabular", | ||
"task_type": "regression" | ||
}, | ||
"validation": { | ||
"dataset": "boston", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.AdaBoostRegressor" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.AdaBoostRegressor#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.ensemble.BaggingClassifier.json
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{ | ||
"metadata": { | ||
"name": "BaggingClassifier/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"mlprimitives.preprocessing.ClassEncoder", | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.BaggingClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.BaggingClassifier#1": {} | ||
} | ||
} |
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{ | ||
"metadata": { | ||
"name": "BaggingRegressor/regression/default", | ||
"data_type": "tabular", | ||
"task_type": "regression" | ||
}, | ||
"validation": { | ||
"dataset": "boston", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.BaggingRegressor" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.BaggingRegressor#1": {} | ||
} | ||
} | ||
|
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mlblocks_pipelines/sklearn.ensemble.ExtraTreesClassifier.json
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{ | ||
"metadata": { | ||
"name": "ExtraTreesClassifier/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"mlprimitives.preprocessing.ClassEncoder", | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.ExtraTreesClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.ExtraTreesClassifier#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.ensemble.ExtraTreesRegressor.json
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{ | ||
"metadata": { | ||
"name": "ExtraTreesRegressor/regression/default", | ||
"data_type": "tabular", | ||
"task_type": "regression" | ||
}, | ||
"validation": { | ||
"dataset": "boston", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.ExtraTreesRegressor" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.ExtraTreesRegressor#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.ensemble.GradientBoostingClassifier.json
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{ | ||
"metadata": { | ||
"name": "GradientBoosting/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"mlprimitives.preprocessing.ClassEncoder", | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.GradientBoostingClassifier" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.GradientBoostingClassifier#1": {} | ||
} | ||
} |
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mlblocks_pipelines/sklearn.ensemble.GradientBoostingRegressor.json
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{ | ||
"metadata": { | ||
"name": "GradientBoostingRegressor/regression/default", | ||
"data_type": "tabular", | ||
"task_type": "regression" | ||
}, | ||
"validation": { | ||
"dataset": "boston", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.GradientBoostingRegressor" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.GradientBoostingRegressor#1": {} | ||
} | ||
} |
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{ | ||
"metadata": { | ||
"name": "IsolationForest/classification/default", | ||
"data_type": "tabular", | ||
"task_type": "classification" | ||
}, | ||
"validation": { | ||
"dataset": "iris", | ||
"context": {} | ||
}, | ||
"primitives": [ | ||
"mlprimitives.preprocessing.ClassEncoder", | ||
"sklearn.preprocessing.Imputer", | ||
"sklearn.preprocessing.StandardScaler", | ||
"sklearn.ensemble.IsolationForest" | ||
], | ||
"hyperparameters": { | ||
"sklearn.ensemble.IsolationForest#1": {} | ||
} | ||
} |
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