# ML API

> *⚠️ Note: This API is not yet implemented and is planned for a future release.*

The ML API will provide endpoints for machine learning operations, model training, and predictive analytics.

## Planned Features

- Dataset management and preprocessing
- Model training and evaluation
- Hyperparameter tuning
- Batch predictions
- Model performance monitoring
- A/B testing for models
- Feature engineering tools

## Base URL (Planned)

```
http://localhost:8080/api/v1/ml
```

## Authentication

Will use the standard botserver authentication mechanism with appropriate role-based permissions.

## Endpoints (Planned)

### Dataset Management
`POST /api/v1/ml/datasets`
`GET /api/v1/ml/datasets`
`DELETE /api/v1/ml/datasets/{dataset_id}`

### Model Training
`POST /api/v1/ml/train`
`GET /api/v1/ml/jobs/{job_id}`
`POST /api/v1/ml/jobs/{job_id}/stop`

### Predictions
`POST /api/v1/ml/predict`
`POST /api/v1/ml/batch-predict`

### Model Evaluation
`GET /api/v1/ml/models/{model_id}/metrics`
`POST /api/v1/ml/models/{model_id}/evaluate`

### Feature Engineering
`POST /api/v1/ml/features/extract`
`GET /api/v1/ml/features/importance`

## Implementation Status

This API is currently in the planning phase. Check back in future releases for availability.