Thanks for being 18h ahead of me, good sanity check. I’m having the same issues. I’m running Windows + GPU. What environment are you running? Good news is Windows + GPU is now working – at least as well as your system.
- Empty graphs (2) starting from Improve Your Graph onwards: learn.sched.plot_lr()
- ValueError: Found input variables with inconsistent numbers of samples: [2000, 5]
- Many errors (albeit innocuous): “Failed to display Jupyter Widget of type HBox.”
ValueError Traceback (most recent call last)
in ()
1 from sklearn.metrics import confusion_matrix
----> 2 cm = confusion_matrix(y, preds)
~\Anaconda3\lib\site-packages\sklearn\metrics\classification.py in confusion_matrix(y_true, y_pred, labels, sample_weight)
248
249 “”"
–> 250 y_type, y_true, y_pred = _check_targets(y_true, y_pred)
251 if y_type not in (“binary”, “multiclass”):
252 raise ValueError("%s is not supported" % y_type)
~\Anaconda3\lib\site-packages\sklearn\metrics\classification.py in _check_targets(y_true, y_pred)
69 y_pred : array or indicator matrix
70 “”"
—> 71 check_consistent_length(y_true, y_pred)
72 type_true = type_of_target(y_true)
73 type_pred = type_of_target(y_pred)
~\Anaconda3\lib\site-packages\sklearn\utils\validation.py in check_consistent_length(*arrays)
202 if len(uniques) > 1:
203 raise ValueError(“Found input variables with inconsistent numbers of”
–> 204 " samples: %r" % [int(l) for l in lengths])
205
206
ValueError: Found input variables with inconsistent numbers of samples: [2000, 5]