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Print test cost for network.py

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Carl Pearson
2017-02-20 06:04:03 -06:00
parent ca585d51af
commit 6dee452bd2
2 changed files with 6 additions and 5 deletions
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3
.pylintrc
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@@ -1,3 +1,2 @@
[TYPECHECK] [TYPECHECK]
ignored-modules = numpy, numpy.random ignored-modules = numpy, numpy.random
ignored-classes = numpy

8
network.py
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@@ -241,6 +241,8 @@ PATIENCE = 200
print TRAINING_SUBSET_SIZE print TRAINING_SUBSET_SIZE
print "Epoch\tTraining Cost Function\tTest Cost Function"
best_rate = np.inf best_rate = np.inf
best_model = None best_model = None
for epoch in range(MAX_EPOCHS): for epoch in range(MAX_EPOCHS):
@@ -263,11 +265,11 @@ for epoch in range(MAX_EPOCHS):
batch = training_subset[i:min(i + BATCH_SIZE, len(training_subset))] batch = training_subset[i:min(i + BATCH_SIZE, len(training_subset))]
MODEL.backward_minibatch(batch, LEARNING_RATE) MODEL.backward_minibatch(batch, LEARNING_RATE)
# Evaluate accuracy against training data # Evaluate accuracy against training data and test data
training_rate = evaluate(MODEL, training_subset) training_rate = evaluate(MODEL, training_subset)
# test_rate = evaluate(MODEL, TEST_DATA) test_rate = evaluate(MODEL, TEST_DATA)
print epoch, "training:", training_rate, print epoch, training_rate, test_rate,
# If it's the best one so far, store it # If it's the best one so far, store it
if training_rate < best_rate: if training_rate < best_rate: