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Molecule_transformer

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Molecule_transformer / ML_models /trained_data_Alzheimer_classification /fitted_operations

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Add model for Alzheimer case with classification problem.

fca059b verified 8 months ago

operation_0.pkl
Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
863 Bytes
xet

Add model for Alzheimer case with classification problem. 8 months ago
operation_1.pkl
Detected Pickle imports (4)
- "numpy.dtype",
- "sklearn.linear_model._logistic.LogisticRegression",
- "numpy.ndarray",
- "joblib.numpy_pickle.NumpyArrayWrapper"
How to fix it?
17.2 kB
xet

Add model for Alzheimer case with classification problem. 8 months ago
operation_2.pkl
Detected Pickle imports (12)
- "golem.core.log.LoggerAdapter",
- "numpy.dtype",
- "lightgbm.sklearn.LGBMClassifier",
- "numpy.core.multiarray.scalar",
- "fedot.core.operations.operation_parameters.OperationParameters",
- "logging.getLogger",
- "collections.defaultdict",
- "lightgbm.basic.Booster",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "collections.OrderedDict",
- "numpy.ndarray",
- "fedot.core.operations.evaluation.operation_implementations.models.boostings_implementations.FedotLightGBMClassificationImplementation"
How to fix it?
315 kB
xet

Add model for Alzheimer case with classification problem. 8 months ago
operation_3.pkl
Detected Pickle imports (11)
- "numpy.dtype",
- "golem.core.log.LoggerAdapter",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "builtins.bytearray",
- "collections.OrderedDict",
- "numpy.ndarray",
- "logging.getLogger",
- "xgboost.core.Booster",
- "fedot.core.operations.evaluation.operation_implementations.models.boostings_implementations.FedotXGBoostClassificationImplementation",
- "xgboost.sklearn.XGBClassifier",
- "fedot.core.operations.operation_parameters.OperationParameters"
How to fix it?
127 kB
xet

Add model for Alzheimer case with classification problem. 8 months ago
operation_4.pkl
Detected Pickle imports (12)
- "numpy.dtype",
- "golem.core.log.LoggerAdapter",
- "lightgbm.basic.Booster",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "collections.OrderedDict",
- "numpy.ndarray",
- "numpy.core.multiarray.scalar",
- "lightgbm.sklearn.LGBMClassifier",
- "logging.getLogger",
- "collections.defaultdict",
- "fedot.core.operations.evaluation.operation_implementations.models.boostings_implementations.FedotLightGBMClassificationImplementation",
- "fedot.core.operations.operation_parameters.OperationParameters"
How to fix it?
173 kB
xet

Add model for Alzheimer case with classification problem. 8 months ago