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f0ff673f82
When using custom processors, the field names extracted from the documents are not the same as the feature names used for training. Consequently, it is possible for the stratified sampler to have an incorrect view of the feature rows. This can lead to the wrong column being read for the class label, and thus throw errors on training row extraction. This commit changes the training row feature names used by the stratified sampler so that it matches the names (and their order) that are sent to the analytics process.
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