Skip to main content

tools for quantitative sports analysis

Project description

sips 0.14.2

setup:

  • install
  • navigate to dir
  • local pip install
git clone https://github.com/anandijain/sips.git
cd sips
pip install -e . [--user]

USAGE

  1. get data

    from sips.lines import lines
    lines.Lines()
    # or
    from sips.lines.bov import bov
    bov.lines(['nba'])
    
  2. train LSTM predictor on data

    • place lines.py output CSVs in sips/data/lines
    • go to sips/ml/ and python ml_pred.py

CHANGELOG / ROADMAP

  1. the sports-reference api has been largely revamped

  2. preparing for pypi release

  3. post will be moved to separate repo and have sips as dependency

  4. premature update of master to 0.14.2

  5. 0.14.2 fixes some relative import problems, could be lingering instability

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

sips-0.14.2.tar.gz (45.9 kB view hashes)

Uploaded Source

Built Distribution

sips-0.14.2-py3-none-any.whl (2.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page