03chrisk/air_quality

air_quality_test / saved_models

8.98 MB

9 contributors

atodorov284

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.

20c0381 about 1 year 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. about 1 year 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. about 1 year 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. about 1 year 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. about 1 year ago

Detected Pickle imports (5)

Detected Pickle imports (6)

Detected Pickle imports (12)