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FIX : Update the input method since DenseFeatures cannot take list of numpys as proper input. #20

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FIX : Update the input method since DenseFeatures cannot take list of numpys as proper input. #20

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30fd168
FIX : Update the input method since DenseFeatures cannot take list of…
Sep 25, 2019
d620cc4
Update : Rename variables.
Sep 25, 2019
4288f93
Fix : Update column name.
Sep 25, 2019
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7 changes: 6 additions & 1 deletion sqlflow_models/deep_embedding_cluster.py
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Original file line number Diff line number Diff line change
Expand Up @@ -240,7 +240,12 @@ def sqlflow_train_loop(self, x, epochs=1, verbose=0):
print('Early stopping since delta_table {} has reached tol {}'.format(delta_percentage, self._tol))
break
idx = index_array[index * self._train_batch_size: min((index + 1) * self._train_batch_size, record_num)]
loss = self.train_on_batch(x=list(all_records_ndarray[idx].T), y=p[idx])
batch_input = all_records_ndarray[idx]
batch_input_dict = {}
for i, feature in enumerate(self._feature_columns):
batch_input_dict[feature.name] = pd.Series(batch_input[:, i])

loss = self.train_on_batch(x=batch_input_dict, y=p[idx])
if ite % 100 == 0:
print('{} Training at iter:{} -> loss:{}.'.format(datetime.now(), ite, loss))
index = index + 1 if (index + 1) * self._train_batch_size <= record_num else 0 # Update index
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