Draft: [python-package] Sample from Sequence objects in batches, rather than row-by-row #7007
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Currently, when the Python package's
Dataset
class is constructed with a list of user-suppliedSequence
objects, theDataset
samples rows at random in a row-by-row manner. (The number of samples is controlled by thebin_construct_sample_cnt
parameter.)With this MR, the
Dataset
class will sample rows in batched fashion, by batching the randomly-generated row indices according to theSequence
objects' length and batch size. In cases where all rows are being sampled, theSequence
objects are indexed with slices.The goal is to allow user-defined
Sequence
classes to provide data more efficiently or with better overall performance.See #7006 .