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DATA103_filipino_spam_detection
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DATA103_filipino_spam_detection
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models
17 MB
1 contributor
History:
2 commits
ferds003
deploying models trained on oversampled ham messages
020c30f
3 months ago
cNB_model_2.pkl
pickle
Detected Pickle imports (8)
"numpy.dtype"
,
"sklearn.feature_extraction.text.TfidfTransformer"
,
"numpy.float64"
,
"sklearn.naive_bayes.ComplementNB"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"sklearn.pipeline.Pipeline"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
How to fix it?
1.08 MB
xet
Add model files using Git LFS
3 months ago
cNB_model_3.pkl
pickle
Detected Pickle imports (11)
"sklearn.feature_extraction.text.TfidfTransformer"
,
"sklearn.naive_bayes.ComplementNB"
,
"imblearn.pipeline.Pipeline"
,
"imblearn.over_sampling._random_over_sampler.RandomOverSampler"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.float64"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.multiarray.scalar"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"numpy.ndarray"
How to fix it?
1.12 MB
xet
deploying models trained on oversampled ham messages
3 months ago
mNB_model_2.pkl
pickle
Detected Pickle imports (8)
"numpy.dtype"
,
"sklearn.feature_extraction.text.TfidfTransformer"
,
"numpy.float64"
,
"sklearn.naive_bayes.MultinomialNB"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"sklearn.pipeline.Pipeline"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
How to fix it?
946 kB
xet
Add model files using Git LFS
3 months ago
mNB_model_3.pkl
pickle
Detected Pickle imports (11)
"sklearn.feature_extraction.text.TfidfTransformer"
,
"imblearn.pipeline.Pipeline"
,
"sklearn.naive_bayes.MultinomialNB"
,
"imblearn.over_sampling._random_over_sampler.RandomOverSampler"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.float64"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.multiarray.scalar"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"numpy.ndarray"
How to fix it?
984 kB
xet
deploying models trained on oversampled ham messages
3 months ago
rf_model_2.pkl
pickle
Detected Pickle imports (11)
"numpy.dtype"
,
"sklearn.feature_extraction.text.TfidfTransformer"
,
"numpy.float64"
,
"sklearn.tree._tree.Tree"
,
"numpy._core.multiarray.scalar"
,
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"sklearn.pipeline.Pipeline"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
How to fix it?
7.17 MB
xet
Add model files using Git LFS
3 months ago
rf_model_3.pkl
pickle
Detected Pickle imports (13)
"sklearn.tree._classes.DecisionTreeClassifier"
,
"sklearn.feature_extraction.text.TfidfTransformer"
,
"sklearn.ensemble._forest.RandomForestClassifier"
,
"imblearn.pipeline.Pipeline"
,
"imblearn.over_sampling._random_over_sampler.RandomOverSampler"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.float64"
,
"sklearn.tree._tree.Tree"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.multiarray.scalar"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"numpy.ndarray"
How to fix it?
4.13 MB
xet
deploying models trained on oversampled ham messages
3 months ago
svm_model_2.pkl
pickle
Detected Pickle imports (10)
"numpy.dtype"
,
"sklearn.feature_extraction.text.TfidfTransformer"
,
"numpy.float64"
,
"numpy._core.multiarray.scalar"
,
"scipy.sparse._csr.csr_matrix"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"sklearn.svm._classes.SVC"
,
"sklearn.pipeline.Pipeline"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
How to fix it?
727 kB
xet
Add model files using Git LFS
3 months ago
svm_model_3.pkl
pickle
Detected Pickle imports (12)
"sklearn.feature_extraction.text.TfidfTransformer"
,
"imblearn.pipeline.Pipeline"
,
"imblearn.over_sampling._random_over_sampler.RandomOverSampler"
,
"scipy.sparse._csr.csr_matrix"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"numpy.float64"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.multiarray.scalar"
,
"sklearn.feature_extraction.text.TfidfVectorizer"
,
"sklearn.svm._classes.SVC"
,
"numpy.ndarray"
How to fix it?
801 kB
xet
deploying models trained on oversampled ham messages
3 months ago