Fetching metadata from the HF Docker repository...
backend initial commit
a037ec5
-
11.7 MB
backend initial commit
-
11 MB
backend initial commit
-
10.8 MB
backend initial commit
-
11.3 MB
backend initial commit
-
11.7 MB
backend initial commit
tfidf_access.pkl
Detected Pickle imports (6)
- "sklearn.feature_extraction.text.TfidfTransformer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.float64",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "numpy.ndarray"
How to fix it?
162 kB
backend initial commit
tfidf_amenities.pkl
Detected Pickle imports (6)
- "sklearn.feature_extraction.text.TfidfTransformer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.float64",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "numpy.ndarray"
How to fix it?
152 kB
backend initial commit
tfidf_attractions.pkl
Detected Pickle imports (6)
- "sklearn.feature_extraction.text.TfidfTransformer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.float64",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "numpy.ndarray"
How to fix it?
150 kB
backend initial commit
tfidf_no_aspect.pkl
Detected Pickle imports (6)
- "sklearn.feature_extraction.text.TfidfTransformer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.float64",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "numpy.ndarray"
How to fix it?
156 kB
backend initial commit
tfidf_price.pkl
Detected Pickle imports (6)
- "sklearn.feature_extraction.text.TfidfTransformer",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.float64",
- "sklearn.feature_extraction.text.TfidfVectorizer",
- "numpy.ndarray"
How to fix it?
162 kB
backend initial commit