Skip to main content

Teaching-oriented ML metapackage: standard DS stack + Optuna + LazyPredict + PPS

Project description

zaaw_algo_ml

A small teaching-oriented metapackage that installs a standard data-science / ML stack together with:

  • Optuna
  • PPS score (ppscore)
  • LazyPredict

It is intended for student virtual environments.

Install

python -m pip install --upgrade pip
python -m pip install .

Or build a wheel first:

python -m pip install build
python -m build
python -m pip install dist/zaaw_algo_ml-0.1.0-py3-none-any.whl

What it includes

  • numpy
  • pandas
  • matplotlib
  • seaborn
  • scipy
  • scikit-learn
  • statsmodels
  • joblib
  • optuna
  • ppscore
  • lazypredict

Notes

  • This package does not include Jupyter magics like %matplotlib inline.
  • This package does not include your local module functions.eda_automations; that would need to be packaged separately.
  • Version ranges are intentionally conservative to reduce the chance of sudden breaking upgrades.

Quick test

from zaaw_algo_ml import smoke_test, print_versions

print_versions()
smoke_test()

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

zaaw_algo_ml-0.3.0.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

zaaw_algo_ml-0.3.0-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file zaaw_algo_ml-0.3.0.tar.gz.

File metadata

  • Download URL: zaaw_algo_ml-0.3.0.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for zaaw_algo_ml-0.3.0.tar.gz
Algorithm Hash digest
SHA256 d37ffb1a979b9361893a8f26132438b40194f01747469a2d97071c2bad9bfb99
MD5 45393f40efc4e770f32d1ffe895ac29c
BLAKE2b-256 ece28edf8b86a5f86a9d6ca613eeb3db760ddb0d321bd606edb8f8ce56f88dbc

See more details on using hashes here.

File details

Details for the file zaaw_algo_ml-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: zaaw_algo_ml-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for zaaw_algo_ml-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b7373d3f914d1023a5dc537301decfe4efcb867fb4d1700e707a6d3fc72cba94
MD5 22867fe1813123d1a5a7d7273543267f
BLAKE2b-256 adbedd4f508eaa613be03a5d50fe7e50acc362cc0717c0eae726a34cc672721e

See more details on using hashes here.

Supported by

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