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seldon-core-examples's Issues
Add readme and links to seldon-core
Bug in MnistClassifier.py
def predict(self,X,features_names):
assert X.shape[0]>=1, 'wrong shape 0'
if X.shape[0]==784:
X = X.reshape(1,28,28,1)
else:
X = X.reshape(X.shape[0],28,28,1)
What if I want to make a prediction on a batch of 784 images? As a general guideline, the interface methods can check the format of what they receive but should not assume different formats and implement different behaviours accordingly.
404 Link in the doc
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