# WarpGBM

> Use this tool when you need to quickly train and deploy gradient boosting models, or make fast predictions from existing models. It solves problems related to efficient model training, seamless deployment, and accurate prediction, accepting dataset uploads as input and producing portable artifacts and predictions as output. Ideal for use cases where rapid model development and deployment are crucial, such as data science, machine learning, and predictive analytics applications.

Canonical page: https://skillsregistry.net/skills/jefferythewind-warpgbm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jefferythewind-warpgbm-mcp

## Description

Train gradient boosting models quickly and export portable artifacts for smooth deployment. Run fast predictions from newly trained models or existing artifacts. Upload datasets, browse available backends, and access a practical guide with best practices and troubleshooting.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/jefferythewind/warpgbm-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jefferythewind-warpgbm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jefferythewind-warpgbm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jefferythewind-warpgbm-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt