Sorry for the late reply. I am trying to get ROC curve using Scikit learn, I have fpr and tpr too, but to print the ROC, I  need to binarize the dataoader_test. How can I do that, when I trying this, resulting this -
E: Package 'python-software-properties' has no installation candidate
··········
fuse: mountpoint is not empty
fuse: if you are sure this is safe, use the 'nonempty' mount option
Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount("/content/drive", force_remount=True).
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-6-e1dbe1e9866d> in <module>()
     58 
     59 # Binarize the output
---> 60 dataloader_test = label_binarize(dataloader_test, classes=[0, 1, 2, 3])
     61 nb_classes = dataloader_test.shape[1]

/usr/local/lib/python3.6/dist-packages/sklearn/preprocessing/label.py in label_binarize(y, classes, neg_label, pos_label, sparse_output)
    579         # XXX Workaround that will be removed when list of list format is
    580         # dropped
--> 581         y = check_array(y, accept_sparse='csr', ensure_2d=False, dtype=None)
    582     else:
    583         if _num_samples(y) == 0:

/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
    575     shape_repr = _shape_repr(array.shape)
    576     if ensure_min_samples > 0:
--> 577         n_samples = _num_samples(array)
    578         if n_samples < ensure_min_samples:
    579             raise ValueError("Found array with %d sample(s) (shape=%s) while a"

/usr/local/lib/python3.6/dist-packages/sklearn/utils/validation.py in _num_samples(x)
    140         if len(x.shape) == 0:
    141             raise TypeError("Singleton array %r cannot be considered"
--> 142                             " a valid collection." % x)
    143         # Check that shape is returning an integer or default to len
    144         # Dask dataframes may not return numeric shape[0] value

TypeError: Singleton array array(<torch.utils.data.dataloader.DataLoader object at 0x7fc3048321d0>,
      dtype=object) cannot be considered a valid collection.

You know what need to be done? Follwing this tutorial - https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html