datarobot-model-traininglisted

# 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. **Create or reuse a Use Case**: ask the user if they have an existing Use Case ID to reuse (`dr.UseCase.get(use_case_id)`); otherwise create a new one (`dr.UseCase.create(name)`). Every project needs one linked in Workbench 2. **Upload dataset**: `upload_dataset(file_path, dataset_name, use_case_id)` to upload training data, associated with the Use Case 3. **Create project**: `create_project(dataset_id, project_name, target_column, use_case_id)` to create new project, associated with the same Use Case 4. **Start training**: `start_automl(project_id, mode)` to begin AutoML training **Example**: "Create a new project under a 'Sales Forecasting' Use Case 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: - Create new DataRobot projects - Upload training datasets - Configure AutoML experiments - Monitor training progress - Select and compare models - Understand feature engineering results - Export trained models ## Key capabilities ### 1. Project Management - Create new projects with appropriate settings - Upload datasets (CSV, Parquet, database connections) - Configure project settings (target, partitioning, time series) - Manage m