Traceback (most recent call last):


 "examples/plot_decoding_tutorial.py", line 144, in <module>

svc.fit(fmri_masked, conditions)


 "/home/kshitij/anaconda3/envs/nilearn-py35/lib/python3.5/site-packages/sklearn/svm/base.py", line 151, in fit

X, y = check_X_y(X, y, dtype=np.float64, order='C', accept_sparse='csr')


 "/home/kshitij/anaconda3/envs/nilearn-py35/lib/python3.5/site-packages/sklearn/utils/validation.py", line 531, in check_X_y

check_consistent_length(X, y)


 "/home/kshitij/anaconda3/envs/nilearn-py35/lib/python3.5/site-packages/sklearn/utils/validation.py", line 181, in check_consistent_length

" samples: %r" % [int(l) for l in lengths])
ValueError: Found input variables with inconsistent numbers of samples: [1452, 216]

Traceback (most recent call last):


 "tools/train.py", line 325, in <module>

main()


 "tools/train.py", line 196, in main

exe, train_prog, cfg.pretrain_weights, ignore_params=ignore_params)


 ".\ppdet\utils\checkpoint.py", line 111, in load_params

"exists.".format(path))
ValueError: Model pretrain path dataset/DarkNet53_pretrained.tar does not exists.
