jingyimei commented on a change in pull request #393: DL: Add support for
reporting various metrics in fit/evaluate
URL: https://github.com/apache/madlib/pull/393#discussion_r285788301
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File path: src/ports/postgres/modules/deep_learning/madlib_keras.py_in
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@@ -459,14 +448,10 @@ def fit_transition(state, ind_var, dep_var,
current_seg_id, num_classes,
previous_state, SD['model_shapes'])
SD['segment_model'] = segment_model
image_count = 0
- agg_loss = 0
- agg_accuracy = 0
agg_image_count = 0
else:
segment_model = SD['segment_model']
- #TODO we don't need to deserialize the weights here.
- agg_loss, agg_accuracy, agg_image_count, _ =
madlib_keras_serializer.deserialize_weights(
- state, SD['model_shapes'])
+ agg_image_count = float(np.fromstring(state, dtype=np.float32)[0])
Review comment:
Addressed
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