Training wrapper around torch.nn.Module, provides scikit-learn like fit and predict interfaces.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

torch-train

Training wrapper around torch.nn.Module, provides scikit-learn like fit and predict interfaces.

The easiest way to install is through pip

pip install torch-train

The torch-train is an extension of the pytorch library. Therefore, when installed manually, ensure pytorch is installed. Either through pip:

pip install torch

See https://pytorch.org/ for a detailed installation guide.

For a full reference, please see torch-train.readthedocs.io.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.0.3

Aug 14, 2020

0.0.2

Jun 4, 2020

0.0.1

May 22, 2020

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Aug 14, 2020 Source

Uploaded Aug 14, 2020 Python 3

Hashes for torch-train-0.0.3.tar.gz
Algorithm	Hash digest
SHA256	`2071a4172c3e37871a6612ee232fe98f45433a4b04b55c64928f20a69308b0a4`
MD5	`39ccbc36de0730fdc10e080ff545d1b0`
BLAKE2b-256	`599d8a6f88daa7f7655ba97df70a433660041c632fdd7cadf9556aabca06e680`

Hashes for torch_train-0.0.3-py3-none-any.whl
Algorithm	Hash digest
SHA256	`42ab3c4ba37f37b115723e6fdedcb6aaac6ae8ef1102d5675e6391ff5eff2916`
MD5	`ce2a2c920a859770b77c2e1f161e0033`
BLAKE2b-256	`bc9eab128cf91795cd82f8448eb791e23dbf0c1e1cb5bfaabc8482fe0c0932a1`