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Bachstelze
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github_sync
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Amol Kaushik
regression ensemble
d9f214c
3 months ago
aimoscores_ensemble_A5.pkl
pickle
Detected Pickle imports (22)
"sklearn._loss.link.IdentityLink"
,
"CorrelationFilter.CorrelationFilter"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy.dtype"
,
"_loss.CyHalfSquaredError"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.numeric._frombuffer"
,
"numpy.random._pickle.__randomstate_ctor"
,
"numpy.random._pickle.__bit_generator_ctor"
,
"sklearn.dummy.DummyRegressor"
,
"sklearn.linear_model._coordinate_descent.LassoCV"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.pipeline.Pipeline"
,
"numpy.random._mt19937.MT19937"
,
"sklearn._loss.loss.HalfSquaredError"
,
"numpy._core.multiarray.scalar"
,
"sklearn.ensemble._gb.GradientBoostingRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.ndarray"
,
"sklearn._loss.link.Interval"
,
"sklearn.linear_model._ridge.RidgeCV"
How to fix it?
10.2 MB
xet
regression ensemble
3 months ago
aimoscores_improved_A4.pkl
Suspicious
pickle
Detected Pickle imports (8)
"numpy.ndarray"
,
"sklearn.tree._tree.Tree"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"__main__.CorrelationFilter"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"numpy.dtype"
,
"sklearn.pipeline.Pipeline"
How to fix it?
9.63 MB
xet
repush models to A5 folder
3 months ago
ensemble_classification_champion.pkl
pickle
Detected Pickle imports (21)
"collections.OrderedDict"
,
"sklearn.tree._tree.Tree"
,
"builtins.bytearray"
,
"sklearn.utils._bunch.Bunch"
,
"xgboost.core.Booster"
,
"xgboost.sklearn.XGBClassifier"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"lightgbm.sklearn.LGBMClassifier"
,
"numpy._core.multiarray.scalar"
,
"sklearn.preprocessing._data.StandardScaler"
,
"sklearn.ensemble._voting.VotingClassifier"
,
"numpy._core.multiarray._reconstruct"
,
"collections.defaultdict"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"sklearn.discriminant_analysis.LinearDiscriminantAnalysis"
,
"numpy.dtype"
,
"sklearn.linear_model._logistic.LogisticRegression"
,
"lightgbm.basic.Booster"
,
"sklearn.preprocessing._label.LabelEncoder"
,
"sklearn.neighbors._classification.KNeighborsClassifier"
,
"numpy.ndarray"
How to fix it?
26.7 MB
xet
Heteroeneous Classification ensemble
3 months ago
weaklink_classifier_rfc_A4.pkl
pickle
Detected Pickle imports (8)
"sklearn.preprocessing._data.StandardScaler"
,
"sklearn.tree._tree.Tree"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"numpy.ndarray"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
How to fix it?
16.4 MB
xet
repush models to A5 folder
3 months ago