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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This version

0.0.1

Aug 11, 2022

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