Dataloader for PyTorch
Project description
Dataloader
A python module for loading datasets from
- Scikit-learn
- Torchvision
It supports loading
- Wine
- Iris
- MNIST datasets
Defaults to loading IRIS.
This module also performs pre-processing relevant to each data set type. It handles categorical data for tabular sets like Iris and it performs transforms for images in the computer vision dataset like MNIST.
Install
Using a package manager
$ poetry add dataloader-fetcher
Example usage
fetcher = DataloaderFetcher()
train_loader = fetcher.train_loader(name="Iris")
test_loader = fetcher.test_loader(name="Iris")
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