Experiment tracking for GeoSpatial Machine Learning on GeoEngine
Project description
A Utility Library that assists in Geospatial Machine Learning Experiment Tracking.
Installation
pip install granular-engine
Usage
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/>_
Project details
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.
Source Distribution
granular_engine-0.2.5.tar.gz
(10.8 kB
view hashes)
Built Distribution
Close
Hashes for granular_engine-0.2.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 89da7a0b3a92079a9d02bab176eaeae8362cd8b4f53aa5bb8786cba95128f623 |
|
MD5 | 1ea807c6fe792c3593a88d50855d8a46 |
|
BLAKE2b-256 | 22f32c197751df0c9724dcb2555a2ad0952bcb8dca9ffa8de238b3b3060b0582 |