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numerai-model-upload

Official

Build and validate Numerai model-upload pickles.

Data & Analytics#debugging#validation#predict#pickle#numerai#model-upload
Authornumerai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables you to create portable Numerai tournament model upload pickles (.pkl) containing a self-contained predict() function, streamlining deployment, testing, and debugging of Numerai submissions.

Core Features & Use Cases

  • Create a deterministic, environment-agnostic inference bundle that preserves preprocessing and feature handling for Numerai's predict container.
  • Validate and test the pickle against Numerai's MCP workflow, ensuring compatibility with the default Python runtime and required libraries.
  • Document the model-upload requirements and testing steps to reduce handoff friction and speed up submissions.

Quick Start

Train your final Numerai model, create an inference bundle, and run the export to generate model.pkl ready for MCP testing.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: numerai-model-upload
Download link: https://github.com/numerai/example-scripts/archive/main.zip#numerai-model-upload

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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