Spaces:

---

hossainlab

/

deepamr-api

like 0

Sleeping

• "sklearn.preprocessing._data.StandardScaler",
• "torch.LongStorage",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "numpy.dtype",
• "numpy._core.multiarray.scalar",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "_codecs.encode"

How to fix it?

• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.linear_model._logistic.LogisticRegression",
• "sklearn.multiclass.OneVsRestClassifier",
• "numpy.dtype",
• "sklearn.preprocessing._label.LabelBinarizer"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "numpy.ndarray",
• "sklearn.preprocessing._data.StandardScaler",
• "_codecs.encode",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "numpy._core.multiarray.scalar"

How to fix it?

• "sklearn.tree._classes.DecisionTreeClassifier",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "sklearn.ensemble._forest.RandomForestClassifier",
• "numpy.dtype"

How to fix it?

• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "numpy.ndarray",
• "sklearn.preprocessing._data.StandardScaler",
• "_codecs.encode",
• "numpy._core.multiarray._reconstruct",
• "numpy.dtype",
• "collections.OrderedDict",
• "torch.FloatStorage",
• "numpy._core.multiarray.scalar"

How to fix it?