structured-ml-logging 0.1.0

Structured logging for ML experiments with schema validation and pluggable sinks.

Structured ML Logging

Structured (JSON) logging for ML experiments with schema validation and pluggable sinks.

Installation (dev)

pip install -e ".[dev]"

Quickstart

from mlog import get_logger, run_context

log = get_logger(project="demo", experiment="baseline", sink="stdout", validation="strict")

with run_context(run_id="run_001", tags={"team": "ml"}):
    log.param("lr", 0.01)
    log.metric("train.loss", 0.123, step=1)
    log.event("done")