mengwenliu
commented
7 years ago check if you add X = X.toarray(), which is wrong.
The following should work:
X = v.fit_transform(data) y = np.repeat(1.0, X.shape[0]) fm.fit(X, y)
Open ks864148379 opened 7 years ago
mengwenliu
commented
7 years ago check if you add X = X.toarray(), which is wrong.
The following should work:
X = v.fit_transform(data) y = np.repeat(1.0, X.shape[0]) fm.fit(X, y)
Creating validation dataset of 0.01 of training for adaptive regularization Traceback (most recent call last): File "suanfa.py", line 25, in
fm.fit(trainX,trainY)
File "/home/ks/anaconda3/lib/python3.5/site-packages/pyfm/pylibfm.py", line 181, in fit
X_train_dataset = _make_dataset(X_train, train_labels)
File "/home/ks/anaconda3/lib/python3.5/site-packages/pyfm/pylibfm.py", line 239, in _make_dataset
dataset = CSRDataset(X.data, X.indptr, X.indices, y_i, sample_weight)
AttributeError: 'numpy.ndarray' object has no attribute 'indptr'