use example/sparse/wide_deep/train.py to train
e.g. in first epoch the accuracy in 0.83 like below
2018-06-27 18:48:53,896 epoch 0, accuracy = 0.8382098765432099
2018-06-27 18:48:53,900 Saved checkpoint to “./checkpoint/checkpoint-0000.params”
2018-06-27 18:48:53,902 Saved optimizer state to “./checkpoint/checkpoint-0000.states”
2018-06-27 18:48:53,902 Training completed.
load the sample and use the validate dataset to score, the accuracy decrease to 0.79
INFO:logger:Finished inference with 16200 images
INFO:logger:Finished with 115108.471217 images per second
INFO:logger:(‘accuracy’, 0.7991358024691358)