lit-mlflow: An improved Lightning mlflow logger
Welcome to lit-mlflow's documentation!
An improved Lightning mlflow logger. Works seamlessly with PyTorch Lightning on Databricks and offers more control compared to the mlflow.pytorch.autolog function.
Features
- Makes
mlflowlogging work withlightningand Databricks
Installation
With pip:
python -m pip install lit-mlflow
With poetry:
poetry add lit-mlflow
How to use it
Replace mlflow.autolog() with the MlFlowAutoCallback:
from lit_mlflow import MlFlowAutoCallback
import lightning.pytorch as pl
trainer = pl.Trainer(
callbacks=[
MlFlowAutoCallback()
]
)
To support Databricks mlflow, use the DbxMLFlowLogger instead of the MlFlowLogger:
from lit_mlflow import DbxMLFlowLogger
import lightning.pytorch as pl
trainer = pl.Trainer(
logger=[
DbxMLFlowLogger()
]
)
See a more complete example in the notebooks folder.
API
Check the API reference for more details.