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we encoutered error when training the model with data that has no categorical anomalies.
so we removed following code in train.py
# replacing_dim_categorical = replacing_dim_categorical
# - np.maximum(replacing_dim_categorical.min(axis=1, keepdims=True), 0.3) <= 0.001
The text was updated successfully, but these errors were encountered:
we encoutered error when training the model with data that has no categorical anomalies.
so we removed following code in train.py
# replacing_dim_categorical = replacing_dim_categorical
# - np.maximum(replacing_dim_categorical.min(axis=1, keepdims=True), 0.3) <= 0.001
The text was updated successfully, but these errors were encountered: