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air-quality-forecasting / saved_models

8.99 MB

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10 contributors

History: 2 commits

atodorov284

parser for retraining and prediction added.

d014169 almost 2 years ago

decision_tree.pkl
Detected Pickle imports (5)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.core.multiarray._reconstruct",
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray"
How to fix it?
6.13 kB
xet

Created a predictor class to encapsulate and wrap the loaded models. \n Make a manual prediction to ensure the MLFlow tracking was correct, which is indeed the case. \n Can be accessed through prediction.py. almost 2 years ago
normalizer.joblib
Detected Pickle imports (6)
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.core.multiarray._reconstruct",
- "_codecs.encode",
- "sklearn.preprocessing._data.MinMaxScaler",
- "numpy.ndarray"
How to fix it?
3.01 kB
parser for retraining and prediction added. almost 2 years ago
random_forest.pkl
Detected Pickle imports (6)
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.core.multiarray._reconstruct",
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray",
- "sklearn.ensemble._forest.RandomForestRegressor"
How to fix it?
2.06 MB
xet

Created a predictor class to encapsulate and wrap the loaded models. \n Make a manual prediction to ensure the MLFlow tracking was correct, which is indeed the case. \n Can be accessed through prediction.py. almost 2 years ago
xgboost.pkl
Detected Pickle imports (12)
- "skopt.learning.gaussian_process.kernels.Matern",
- "numpy.core.multiarray._reconstruct",
- "numpy.dtype",
- "skopt.learning.gaussian_process.kernels.WhiteKernel",
- "numpy.core.multiarray.scalar",
- "skopt.learning.gaussian_process.gpr.GaussianProcessRegressor",
- "skopt.learning.gaussian_process.kernels.Sum",
- "numpy.random._pickle.__randomstate_ctor",
- "skopt.learning.gaussian_process.kernels.Product",
- "skopt.learning.gaussian_process.kernels.ConstantKernel",
- "numpy.random._pickle.__bit_generator_ctor",
- "numpy.ndarray"
How to fix it?
93.2 kB
xet

Created a predictor class to encapsulate and wrap the loaded models. \n Make a manual prediction to ensure the MLFlow tracking was correct, which is indeed the case. \n Can be accessed through prediction.py. almost 2 years ago
xgboost.xgb

6.83 MB
xet

Created a predictor class to encapsulate and wrap the loaded models. \n Make a manual prediction to ensure the MLFlow tracking was correct, which is indeed the case. \n Can be accessed through prediction.py. almost 2 years ago