File "/data/tmp/tmu/./examples/classification/IMDbSparseAbsorbingTextCategorizationDemo.py", line 92, in
tm.fit(X_train, Y_train)
File "/data/tmp/tmu/tmu/models/classification/vanilla_classifier.py", line 374, in fit
assert len(X) == len(Y), "X and Y must have the same length"
File "/usr/local/lib/python3.10/dist-packages/scipy/sparse/_base.py", line 395, in len
raise TypeError("sparse array length is ambiguous; use getnnz()"
TypeError: sparse array length is ambiguous; use getnnz() or shape[0]
File "/data/tmp/tmu/./examples/classification/IMDbSparseAbsorbingTextCategorizationDemo.py", line 92, in
tm.fit(X_train, Y_train)
File "/data/tmp/tmu/tmu/models/classification/vanilla_classifier.py", line 374, in fit
assert len(X) == len(Y), "X and Y must have the same length"
File "/usr/local/lib/python3.10/dist-packages/scipy/sparse/_base.py", line 395, in len
raise TypeError("sparse array length is ambiguous; use getnnz()"
TypeError: sparse array length is ambiguous; use getnnz() or shape[0]