[GitHub] [incubator-mxnet] braindotai edited a comment on issue #15534: how to get get train-acc and validation-acc per epoch explicitly per epoch?

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braindotai edited a comment on issue #15534: how to get get train-acc and validation-acc per epoch explicitly per epoch?
URL: https://github.com/apache/incubator-mxnet/issues/15534#issuecomment-511201098
 
 
   You can pass eval_data(your validation data) and eval_metric(metric for your validation data) in the `.fit` call method as below:
   ```python
   # create a module
   mod = mx.mod.Module(symbol=net,
                       context=mx.cpu(),
                       data_names=['data'],
                       label_names=['softmax_label'])
   
   # fit the module
   mod.fit(train_iter,
           eval_data=val_iter,
           optimizer='sgd',
           optimizer_params={'learning_rate':0.1},
           eval_metric='acc',
           num_epoch=7)
   ```
   Will print
   ```
   INFO:root:Epoch[0] Train-accuracy=0.325437
   INFO:root:Epoch[0] Time cost=0.550
   INFO:root:Epoch[0] Validation-accuracy=0.568500
   INFO:root:Epoch[1] Train-accuracy=0.622188
   INFO:root:Epoch[1] Time cost=0.552
   INFO:root:Epoch[1] Validation-accuracy=0.656500
   ```
   For more info visit [here](https://mxnet.incubator.apache.org/versions/master/tutorials/basic/module.html)

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