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meetmendapara
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SPG_ML
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main
SPG_ML
/
trained_models
64.5 MB
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1 contributor
History:
2 commits
meetmendapara
Added Personalization Models
5059de5
about 1 month ago
big5_personality.pkl
pickle
Detected Pickle imports (7)
"numpy._core.multiarray.scalar"
,
"numpy._core.numeric._frombuffer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"sklearn.cluster._kmeans.KMeans"
,
"numpy.dtype"
How to fix it?
21.5 kB
xet
Added Personalization Models
about 1 month ago
duration_predictor.pkl
pickle
Detected Pickle imports (10)
"numpy.ndarray"
,
"numpy._core.numeric._frombuffer"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"numpy._core.multiarray._reconstruct"
,
"xgboost.sklearn.XGBRegressor"
,
"numpy._core.multiarray.scalar"
,
"xgboost.core.Booster"
,
"sklearn.preprocessing._data.StandardScaler"
How to fix it?
274 kB
xet
Initial commit for ML space
2 months ago
lstm_delay_predictor.pkl
pickle
Detected Pickle imports (18)
"_loss.CyHalfSquaredError"
,
"numpy.dtype"
,
"numpy.random._pickle.__randomstate_ctor"
,
"numpy._core.multiarray.scalar"
,
"lstm_model._NumPyLSTMSurrogate"
,
"sklearn._loss.link.IdentityLink"
,
"sklearn.dummy.DummyRegressor"
,
"sklearn.tree._tree.Tree"
,
"sklearn._loss.loss.HalfSquaredError"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.numeric._frombuffer"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"numpy.random._pickle.__bit_generator_ctor"
,
"sklearn._loss.link.Interval"
,
"numpy.ndarray"
,
"numpy.random._mt19937.MT19937"
,
"sklearn.ensemble._gb.GradientBoostingRegressor"
,
"numpy._core.multiarray._reconstruct"
How to fix it?
351 kB
xet
Initial commit for ML space
2 months ago
lstm_metadata.json
Safe
582 Bytes
Initial commit for ML space
2 months ago
master_moe_model.pkl
pickle
Pickle imports
No problematic imports detected
What is a pickle import?
1.99 kB
xet
Added Personalization Models
about 1 month ago
model_registry.json
Safe
14.2 kB
Initial commit for ML space
2 months ago
stress_predictor.pkl
pickle
Detected Pickle imports (2)
"xgboost.core.Booster"
,
"xgboost.sklearn.XGBRegressor"
How to fix it?
255 kB
xet
Added Personalization Models
about 1 month ago
stress_predictor_regressor.pkl
pickle
Detected Pickle imports (11)
"sklearn.preprocessing._data.StandardScaler"
,
"xgboost.sklearn.XGBRegressor"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"dynamic_trainers.ModelType"
,
"numpy._core.numeric._frombuffer"
,
"dynamic_trainers.TaskType"
,
"numpy.ndarray"
,
"xgboost.core.Booster"
,
"dynamic_trainers.DynamicModelConfig"
How to fix it?
268 kB
xet
Added Personalization Models
about 1 month ago
task_completion_best.pkl
pickle
Detected Pickle imports (10)
"numpy._core.multiarray.scalar"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.dtype"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"numpy._core.numeric._frombuffer"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"sklearn.tree._tree.Tree"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy.ndarray"
,
"sklearn.tree._classes.DecisionTreeClassifier"
How to fix it?
8.76 MB
xet
Initial commit for ML space
2 months ago
task_completion_ensemble.pkl
pickle
Detected Pickle imports (20)
"sklearn._loss.loss.HalfBinomialLoss"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.numeric._frombuffer"
,
"numpy._core.multiarray.scalar"
,
"sklearn._loss.link.LogitLink"
,
"numpy.random._mt19937.MT19937"
,
"numpy.ndarray"
,
"numpy.random._pickle.__bit_generator_ctor"
,
"sklearn.preprocessing._data.StandardScaler"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.dummy.DummyClassifier"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"_loss.CyHalfBinomialLoss"
,
"numpy.random._pickle.__randomstate_ctor"
,
"sklearn.ensemble._gb.GradientBoostingClassifier"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"sklearn._loss.link.Interval"
,
"numpy.dtype"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"sklearn.tree._tree.Tree"
How to fix it?
54.6 MB
xet
Initial commit for ML space
2 months ago
training_report.json
Safe
3.53 kB
Added Personalization Models
about 1 month ago
training_summary.json
Safe
923 Bytes
Initial commit for ML space
2 months ago