torch-train
Training wrapper around torch.nn.Module, provides scikit-learn like fit and predict interfaces.
Installation
The easiest way to install is through pip
pip install torch-train
Dependencies
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.
Documentation
For a full reference, please see torch-train.readthedocs.io.
Metadata
Release files for torch-train 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torch-train-0.0.3.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_train-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.0 kB
Release files / torch-train-0.0.3.tar.gz
| Download URL | torch-train-0.0.3.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.9
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Release files / torch_train-0.0.3-py3-none-any.whl
| Download URL | torch_train-0.0.3-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.9
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