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.

Files for sips, version 0.14.2
Filename, size File type Python version Upload date Hashes
Filename, size sips-0.14.2-py3-none-any.whl (2.6 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size sips-0.14.2.tar.gz (45.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page