Skip to main content

Lightweight Python library for prediction & regression

Project description

Predipy

ML lib Python + Go.

Setup

  1. Go: cd go_backend && go mod tidy && go build -o main main.go
  2. Python: pip install -e .

Run Example

python examples/example_regression.py

Test

pytest tests/

Predipy

Predipy is a lightweight Python ML library with a Go backend for fast regression and KNN classification.
It supports linear regression and K-Nearest Neighbors (KNN) for regression & classification.


Features

  • Linear regression with normal equation + optional ridge regularization.
  • KNN classification with Euclidean distance.
  • Lightweight, fast, and works offline.
  • Go backend for computational efficiency.
  • Easy Python interface.

Installation

Install from PyPI:

pip install predipy

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

predipy-0.2.0.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

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

predipy-0.2.0-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file predipy-0.2.0.tar.gz.

File metadata

  • Download URL: predipy-0.2.0.tar.gz
  • Upload date:
  • Size: 8.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.12.12

File hashes

Hashes for predipy-0.2.0.tar.gz
Algorithm Hash digest
SHA256 c97628d95805613e36abd06d2afe248cb954ab062bd973f0f84dae80be3de64c
MD5 f95b594b53291484283a1012ebed7da9
BLAKE2b-256 6b69475f1938bf3edd28ca941853c84749632cf3a29caea88f4a77a2c2932b04

See more details on using hashes here.

File details

Details for the file predipy-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: predipy-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.12.12

File hashes

Hashes for predipy-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0ac1ffaf98c232f651a7d8656236487cac7a11574badd7c4d09ef1170233680e
MD5 a3e90edfd2a215462c6c6e0c06811266
BLAKE2b-256 00b23f1951be08092cbd934962313631283c77b583b992dd07b9753beae25bec

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