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View Code? Open in Web Editor NEWPython library for extracting mini-batches of data from a data source for the purpose of training neural networks
License: MIT License
Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
License: MIT License
I wanted to report an issue which seems to be a bug to me. Whenever I create a batch_iterator over my dataset with shuffle set to False, I am getting an index error just after reading the last batch like this:
index 8017 is out of bounds for axis 0 with size 801
This does not happen when shuffle is set to True. In this case the last batch is smaller in size as noted in the documentation.
I have train data, line by line. How can I do. Could some one explain this?
Great work, thanks! What if I have a weighted sampling scheme, where some samples are drawn with higher probabilities. I tried to provide "indices=idxSamples" to the arrayDataSource, in which "idxSamples can contain an integer index multiple times. This seems to lead to problems, so my question is: do you assume that the indices provided to the argument "indices" are unique?
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