chainer.datasets
The most basic ~chainer.dataset implementation is an array. Both NumPy and CuPy arrays can be used directly as datasets.
In many cases, though, the simple arrays are not enough to write the training procedure. In order to cover most of such cases, Chainer provides many built-in implementations of datasets.
These built-in datasets are divided into two groups. One is a group of general datasets. Most of them are wrapper of other datasets to introduce some structures (e.g., tuple or dict) to each data point. The other one is a group of concrete, popular datasets. These concrete examples use the downloading utilities in the chainer.dataset module to cache downloaded and converted datasets.
General datasets are further divided into four types.
The first one is DictDataset and TupleDataset, both of which combine other datasets and introduce some structures on them.
The second one is ConcatenatedDataset and SubDataset. ConcatenatedDataset represents a concatenation of existing datasets. It can be used to merge datasets and make a larger dataset. SubDataset represents a subset of an existing dataset. It can be used to separate a dataset for hold-out validation or cross validation. Convenient functions to make random splits are also provided.
The third one is TransformDataset, which wraps around a dataset by applying a function to data indexed from the underlying dataset. It can be used to modify behavior of a dataset that is already prepared.
The last one is a group of domain-specific datasets. Currently, ImageDataset and LabeledImageDataset are provided for datasets of images.
chainer.datasets.DictDataset
chainer.datasets.TupleDataset
ConcatenatedDataset
chainer.datasets.SubDataset chainer.datasets.split_dataset chainer.datasets.split_dataset_random chainer.datasets.get_cross_validation_datasets chainer.datasets.get_cross_validation_datasets_random
chainer.datasets.TransformDataset
chainer.datasets.ImageDataset
chainer.datasets.LabeledImageDataset
chainer.datasets.get_mnist chainer.datasets.get_cifar10 chainer.datasets.get_cifar100 chainer.datasets.get_ptb_words chainer.datasets.get_ptb_words_vocabulary chainer.datasets.get_svhn