ai-agent

multipolyfit: Polynomial Regression

Name: multipolyfit: Polynomial Regression
Author: mrocklin

Accurate predictions with multipolyfit, a Python function. Get multivariate regression for data-driven decisions.

58 stars20 forksPythonGuide quality 8/10Updated 8/31/2023100% free · open source

What it does

Multipolyfit is a Python function that enables accurate predictions by performing multivariate polynomial regression, helping startup founders make data-driven decisions.

When to use it

•When you need to model complex relationships between multiple variables in your dataset
•When you want to improve the accuracy of your predictions by considering non-linear interactions between variables
•When you have a large dataset and need to identify the most important factors influencing your outcome variable

Ready-to-paste prompt

coeffs = multipolyfit([[1, 2], [3, 4], [5, 6]], [2, 4, 5], 2); print(coeffs)

Heads up: Make sure to handle cases where the input data has collinear or nearly collinear columns, as this can lead to numerical instability and inaccurate results

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/multipolyfit && curl -fsSL https://workflowstacks.com/api/skills/multipolyfit/claude-skill -o ~/.claude/skills/multipolyfit/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How multipolyfit: Polynomial Regression works

Codeflow

Free to inspect

Multipolyfit: Polynomial Regression is a tiny Python project (~100 lines across 3 code files, plus 1 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 37 months ago, Other license, has a test suite.

Size

Tiny codebase

~100 lines · 3 code files · 2 min skim

Setup

One-command install

Installs like a normal app. Reading the code is optional.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
multipolyfit/__init__.py
Inside multipolyfit/ — the main logic begins here

What's in each folder

multipolyfit/Core code — the actual logic3 files

READMEHas testsThin docsNo CIOther licenseLast update 37 mo ago