摘要： 1. build kubeflow/serving container image which contains serving_model [1] # run container tensorflow/serving, the image of this container # is the ba 阅读全文

摘要： 1. save the trained model # in module file of tfx component trainer def _apply_preprocessing(raw_features, tft_layer): transformed_features = tft_laye 阅读全文