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varungupta0994
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NBPDCL_Models
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Keras
Joblib
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mit
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NBPDCL_Models
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varungupta0994
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README.md
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initial commit
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cnn_lstm_autoencoder.keras
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energy_forecast_model.pkl
pickle
Detected Pickle imports (8)
"numpy.dtype"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.tree._tree.Tree"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"numpy.ndarray"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"RandomForestRegressor.dtype"
How to fix it?
202 MB
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load_scaler.pkl
pickle
Detected Pickle imports (4)
"numpy.ndarray"
,
"sklearn.preprocessing._data.MinMaxScaler"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
How to fix it?
719 Bytes
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lstm_autoencoder.keras
825 kB
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lstm_load_forecast_model.keras
150 kB
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rf_load_model.joblib
pickle
Detected Pickle imports (8)
"sklearn.ensemble._forest.RandomForestRegressor"
,
"numpy.ndarray"
,
"sklearn.tree._tree.Tree"
,
"None.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeRegressor"
How to fix it?
40 kB
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stlf_model.joblib
pickle
Detected Pickle imports (8)
"None.dtype"
,
"sklearn.tree._tree.Tree"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"numpy.dtype"
,
"numpy.ndarray"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy._core.multiarray._reconstruct"
How to fix it?
19 MB
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theft_scaler.pkl
pickle
Detected Pickle imports (5)
"numpy.core.multiarray.scalar"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy.core.multiarray._reconstruct"
How to fix it?
820 Bytes
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3 months ago