model.fit(X_tr, y_tr, show_progress=True)

[zenglongjin]

I used sparse style and the following error occurs:
`AttributeError Traceback (most recent call last)
in
----> 1 model.fit(X_tr, y_tr, show_progress=True)

~\anaconda3\lib\site-packages\tffm\models.py in fit(self, X, y, sample_weight, n_epochs, show_progress)
124 def fit(self, X, y, sample_weight=None, n_epochs=None, show_progress=False):
125 sample_weight = np.ones_like(y) if sample_weight is None else sample_weight
--> 126 self.fit(X=X, y_=y, w_=sample_weight, n_epochs=n_epochs, show_progress=show_progress)
127
128 def predict(self, X, pred_batch_size=None):

~\anaconda3\lib\site-packages\tffm\base.py in fit(self, X, y_, w_, n_epochs, show_progress)
224 # iterate over batches
225 for bX, bY, bW in batcher(X_[perm], y_=y_[perm], w_=w_[perm], batch_size=self.batch_size):
--> 226 fd = batch_to_feeddict(bX, bY, bW, core=self.core)
227 ops_to_run = [self.core.trainer, self.core.target, self.core.summary_op]
228 result = self.session.run(ops_to_run, feed_dict=fd)

~\anaconda3\lib\site-packages\tffm\base.py in batch_to_feeddict(X, y, w, core)
79 # sparse case
80 X_sparse = X.tocoo()
---> 81 fd[core.raw_indices] = np.hstack(
82 (X_sparse.row[:, np.newaxis], X_sparse.col[:, np.newaxis])
83 ).astype(np.int64)

AttributeError: 'TFFMCore' object has no attribute 'raw_indices'`