sklearn-fracdiff

from sklearn_fracdiff import FracDiff
obj = FracDiff(order=0.7)
obj.fit(X)
Z = obj.transform(X)

Check the examples folder for notebooks.

The sklearn-fracdiff git repo is available as PyPi package

pip install sklearn-fracdiff
pip install git+ssh://git@github.com/ulf1/sklearn-fracdiff.git

python3.6 -m venv .venv
source .venv/bin/activate
pip3 install --upgrade pip
pip3 install -r requirements.txt

(If your git repo is stored in a folder with whitespaces, then don’t use the subfolder .venv. Use an absolute path without whitespaces.)

Jupyter for the examples: jupyter lab
Check syntax: flake8 --ignore=F401 --exclude=$(grep -v '^#' .gitignore | xargs | sed -e 's/ /,/g')
Run Unit Tests: pytest

Publish

pandoc README.md --from markdown --to rst -s -o README.rst
python setup.py sdist
twine upload -r pypi dist/*

find . -type f -name "*.pyc" | xargs rm
find . -type d -name "__pycache__" | xargs rm -r
rm -r .venv

Please open an issue for support.

Please contribute using Github Flow. Create a branch, add commits, and open a pull request.

Release files for sklearn-fracdiff 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for sklearn-fracdiff 0.2.2
File	Size	Uploaded
sklearn-fracdiff-0.2.2.tar.gz	9.2 kB	Apr 27, 2021	Details

Download URL	sklearn-fracdiff-0.2.2.tar.gz
Size	9.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`ec1702269e50935a6061c1495bc1add860f1323dd45a10c91fff2ad07bcc9a4f`
BLAKE2b-256 checksum How to use checksums	`56eca08cb00aa9059c4578511f33795d7aea4d52d0f1a7c686ad5a7706cdc687`
Upload date	Apr 27, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.9`