PyTorch dataset wrapper for the
Project description
adult-dataset
A PyTorch dataset wrapper for the Adult (Census Income) dataset. Adult is a popular dataset in machine learning fairness research.
This package provides the adult.Adult class:
atorch.utils.data.Datasets loading and, optionally, downloading the
Adult dataset.
It can be used like the MNIST dataset in
torchvision.
Beyond adult.Adult, this package also provides adult.AdultRaw,
which works just as adult.Adult, but
does not standardize the features in the dataset and does not apply one-hot encoding.
Installation
pip install adult-dataset
Basic Usage
from adult import Adult
# load (if necessary, download) the Adult training dataset
train_set = Adult(root="datasets", download=True)
# load the test set
test_set = Adult(root="datasets", train=False, download=True)
inputs, target = train_set[0] # retrieve the first sample of the training set
# iterate over the training set
for inputs, target in iter(train_set):
... # Do something with a single sample
# use a PyTorch data loader
from torch.utils.data import DataLoader
loader = DataLoader(test_set, batch_size=32, shuffle=True)
for epoch in range(100):
for inputs, targets in iter(loader):
... # Do something with a batch of samples
Advanced Usage
Turn off status messages while downloading the dataset:
Adult(root=..., output_fn=None)
Use the logging module for logging status messages while downloading the
dataset instead of placing the status messages on sys.stdout.
import logging
Adult(root=..., output_fn=logging.info)
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