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![]() This PR adds .iter_torch_batches() and .iter_tf_batches() convenience APIs, which takes care of ML framework tensor conversion, the narrow tensor waste for the .iter_batches() call ("numpy" format), and unifies batch formats around two options: a single tensor for simple/pure-tensor/single-column datasets, and a dictionary of tensors for multi-column datasets. |
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.. | ||
doc_code | ||
examples | ||
images | ||
benchmarks.rst | ||
check-ingest.rst | ||
checkpoints.rst | ||
config-scaling.rst | ||
deployment.rst | ||
getting-started.rst | ||
key-concepts.rst | ||
package-ref.rst | ||
predictors.rst | ||
preprocessors.rst | ||
user-guides.rst |