Flow-based data pre-processing for Machine Learning
Project description
nuts-ml is a data pre-processing library for GPU based deep learning that provides common pre-processing functions as independent, reusable units. These so called ‘nuts’ can be freely arranged to build data flows that are efficient, easy to read and modify.
The following example gives a taste of a nuts-ml data-flow that trains a network on image data and prints training loss and accuracy
(train_samples >> Stratify(1) >> read_image >> transform >> augment >> Shuffle(100) >> build_batch >> network.train() >> Print('train loss:{} acc:{}') >> Consume())
nuts-ml is based on nuts-flow, which is described here.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size nutsml-1.0.43-py2.py3-none-any.whl (1.2 MB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size nutsml-1.0.43.tar.gz (1.2 MB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for nutsml-1.0.43-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f321602ef2119fe53c4e05686c6aa7673dfec791eca0f59b7439dc3578946696 |
|
| MD5 | 45ce80d5a7a12c6e8f9fc0517469b839 |
|
| BLAKE2-256 | 31070592f302fbb6a853991e973b44902b187a946c0cbc964b6b12dd6a70959c |
