MLOps Batch Job

This is a minimal MLOps-style batch job that computes a rolling mean and generates a binary signal from an OHLCV dataset.

Local Run Instructions

Ensure you have Python 3.9+ installed.

1. Install dependencies:

   pip install -r requirements.txt

2. Run the script:

   python run.py --input data.csv --config config.yaml --output metrics.json --log-file run.log

Docker Build/Run Commands

1. Build the Docker image:

   docker build -t mlops-task .

2. Run the Docker container:

   docker run --rm mlops-task

Example metrics.json

{
    "version": "v1",
    "rows_processed": 10000,
    "metric": "signal_rate",
    "value": 0.499,
    "latency_ms": 127,
    "seed": 42,
    "status": "success"
}