Data Science Asked by SantoshGupta7 on December 2, 2020
I am looking at the documentation and this guide
https://www.tensorflow.org/api_docs/python/tf/keras/utils/Sequence
https://stanford.edu/~shervine/blog/keras-how-to-generate-data-on-the-fly
And I need to write in
def __len__(self):
and
def __getitem__(self, idx):
Which gets the length of the dataset, and the getting a data sample using a particular index. So I am wondering if this is appropriate to use for multiple files, and if so, are there any best practices for this?
The Sequence
class from keras works great with multiple files. I've personally created a custom data generator using the Sequence
class to load and pre-process multiple files. You should be able to figure it out using this post, I've found it to be very easy to follow the process of creating a custom data generator step by step.
Answered by Oxbowerce on December 2, 2020
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