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Sorry, I don't know Dataloader Dataset
means. Maybe what I said above is not clear.
In the example above, after we get the dataset from create_dataset(config)
, we use data_preparation(config, dataset)
to get train_data, valid data, test_data
(they are all dataloader ).
During data_preparation, the interaction features in dataset will be splitted like:
built_datasets = dataset.build()
train_dataset, valid_dataset, test_dataset = built_datasets
# they are all class:`~Dataset`
And when init dataloader, it set train_data.dataset = train_dataset
, valid_data.dataset =valid_dataset
...
So in the example above, model = NewModel(config, train_data.dataset)
. train_data.dataset is just class:~Dataset
, whose interaction features has been split.
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