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datarobot-model-training

Skill

Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection. Use when training models, creating AutoML projects, or selecting models in DataRobot.

0Machine Learning

Install

git clone https://github.com/datarobot-oss/datarobot-agent-skills.git ~/.claude/skills/datarobot-model-training

What is datarobot-model-training?

Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection. Use when training models, creating AutoML projects, or selecting models in DataRobot.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~59 tokens of context used while enabled, before you invoke anything

Documentation

README · ~4 min read

DataRobot Model Training Skill

This skill provides guidance for the complete model training workflow in DataRobot, from project creation through model selection and validation.

Quick Start

Most common use case: Create a project and train models

  1. Upload dataset: upload_dataset(file_path, dataset_name) to upload training data
  2. Create project: create_project(dataset_id, project_name) to create new project
  3. Start training: start_automl(project_id, mode) to begin AutoML training

Example: "Create a new project with sales_data.csv, set 'revenue' as target, and start Quick AutoML training"

When to use this skill

Use this skill when you need to:

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