Classifier
Project description
# Classifier
A scalable land cover classification tool for humans
- Go to [the documentation](https://satelligence.gitlab.io/classifier) for more
info on how to install and run Classifier!
## Note on performance
For now, the multithreading of XGboost is not properly implemented. If you have a lot of input files the XGBoost method is MUCH slower than e.g. scikit-learn’s random forest. With single input files (so not a lot of IO operations), the difference in performance is small.
## issues and bugs
Issues are tracked on the [issue list of this repo](https://gitlab.com/satelligence/classifier/issues).
## Development
Please follow the [Satelligence development guidelines](https://gitlab.com/satelligence/workflow/blob/master/dev_workflow.md) when adding features or fixing bugs.
(Fork) Clone this repo:
`sh git clone git@gitlab.com:satelligence/classifier.git `
Make sure you are running the latest docker image.
Run docker with a binding to the source files:
`sh docker run -v $(pwd):/app -t -i classifier `
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
Built Distribution
Hashes for s11_classifier-3.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 23daeaeb4f929c2eb290e7fb95ab65a8b674b341351c7d3aad4c5774aeb71ed1 |
|
MD5 | 414fc6d341481e3e62ee6ca82a68d3be |
|
BLAKE2b-256 | e6593ef05cae70d735decef5455da912304a1d919a16a5ae59348da2057cd0d8 |