Engine
A Utility Library that assists in Geospatial Machine Learning Experiment Tracking.
Installation
pip install granular-engine
Usage
CLI
engine_cli
Experiment Tracking
from engine import Engine
engine = Engine("test_config.yaml")
for epoch in enumerate(epochs):
# train
# eval
engine.log(step=epoch, train_loss=train_loss, val_loss=val_loss)
engine.done()
License
GPLv3
Documentation
View documentation here <https://engine.granular.ai/>_
Metadata
Release files for granular-engine 0.2.26
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| granular_engine-0.2.26.tar.gz | 26.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| granular_engine-0.2.26-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 56.5 kB
Release files / granular_engine-0.2.26.tar.gz
| Download URL | granular_engine-0.2.26.tar.gz |
|---|---|
| Size | 26.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / granular_engine-0.2.26-py3-none-any.whl
| Download URL | granular_engine-0.2.26-py3-none-any.whl |
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| Size | 30.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.9.6 readme-renderer/37.3 requests/2.30.0 requests-toolbelt/1.0.0 urllib3/2.0.2 tqdm/4.65.0 importlib-metadata/6.6.0 keyring/23.13.1 rfc3986/2.0.0 colorama/0.4.6 CPython/3.10.9
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