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AI-Ghibli-Image-Virality-Predictor
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3 commits
ssyok
change logic to predict like and share. Before that my like is a feature which is not correct
713c6ae
19 days ago
gradient_boosting_likes.joblib
pickle
Detected Pickle imports (9)
"numpy.dtype"
,
"sklearn._loss.link.Interval"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn._loss.loss.HalfSquaredError"
,
"sklearn._loss.link.IdentityLink"
,
"numpy.ndarray"
,
"sklearn.ensemble._gb.GradientBoostingRegressor"
,
"sklearn.dummy.DummyRegressor"
,
"_loss.CyHalfSquaredError"
How to fix it?
382 kB
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
gradient_boosting_shares.joblib
pickle
Detected Pickle imports (9)
"numpy.dtype"
,
"sklearn._loss.link.Interval"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"sklearn._loss.loss.HalfSquaredError"
,
"sklearn._loss.link.IdentityLink"
,
"numpy.ndarray"
,
"sklearn.ensemble._gb.GradientBoostingRegressor"
,
"sklearn.dummy.DummyRegressor"
,
"_loss.CyHalfSquaredError"
How to fix it?
369 kB
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
lasso_regression_likes.joblib
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"sklearn.linear_model._coordinate_descent.Lasso"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
How to fix it?
848 Bytes
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
lasso_regression_shares.joblib
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"sklearn.linear_model._coordinate_descent.Lasso"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
How to fix it?
848 Bytes
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
linear_regression_likes.joblib
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"sklearn.linear_model._base.LinearRegression"
How to fix it?
993 Bytes
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
linear_regression_shares.joblib
pickle
Detected Pickle imports (4)
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"sklearn.linear_model._base.LinearRegression"
How to fix it?
993 Bytes
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
random_forest_likes.joblib
pickle
Detected Pickle imports (6)
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"sklearn.tree._tree.Tree"
,
"sklearn.tree._classes.DecisionTreeRegressor"
How to fix it?
2.2 MB
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
random_forest_shares.joblib
pickle
Detected Pickle imports (6)
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"sklearn.tree._tree.Tree"
,
"sklearn.tree._classes.DecisionTreeRegressor"
How to fix it?
2.19 MB
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
ridge_regression_likes.joblib
pickle
Detected Pickle imports (4)
"sklearn.linear_model._ridge.Ridge"
,
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
How to fix it?
769 Bytes
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
ridge_regression_shares.joblib
pickle
Detected Pickle imports (4)
"sklearn.linear_model._ridge.Ridge"
,
"numpy.dtype"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
How to fix it?
769 Bytes
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
scaler.joblib
1.89 kB
LFS
change logic to predict like and share. Before that my like is a feature which is not correct
19 days ago
