A package for benchmarking time series machine learning tools.
Project description
tsml-eval
Evaluation tools for classification, regression and clustering algorithms built on the sktime interface.
Dependency installation
pip install -r requirements.txt
Export package versions to new requirements
pip freeze > requirements.txt
sktime install from main, branch or fork
You can use this package with a sktime install that isn't deployed to pypip.
- First uninstall current sktime: 'pip uninstall sktime'
- Then install from git using i.e.
- pip install git+https://github.com/sktime/sktime.git@main
- pip install git+https://github.com/sktime/sktime.git@uea_debugging
- pip install git+https://github.com/MatthewMiddlehurst/sktime-mm.git@main
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tsml-eval-0.0.1.tar.gz
(131.5 kB
view details)
Built Distribution
tsml_eval-0.0.1-py3-none-any.whl
(188.1 kB
view details)
File details
Details for the file tsml-eval-0.0.1.tar.gz
.
File metadata
- Download URL: tsml-eval-0.0.1.tar.gz
- Upload date:
- Size: 131.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5a6995a52f7313eaeea264b1fce451771ab49b98018b854291183580c116b2b2 |
|
MD5 | 6c83dfe0cf8fed8f7b141a6283bdf487 |
|
BLAKE2b-256 | 78665bcdf5735972fbd2fa2e06f6fa7318647fd568ba230f63279cec587c9c65 |
File details
Details for the file tsml_eval-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: tsml_eval-0.0.1-py3-none-any.whl
- Upload date:
- Size: 188.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | dc7dbfa225422fe3203ae22a53d622adbdfd4153da18d2e23665212260d434a2 |
|
MD5 | 4c2859fd5be41838626f851dc3495319 |
|
BLAKE2b-256 | b20042fda7e4aa5015cfe90580c9f750d222095af1b7aeba52c1cb176913e6ba |