Mlflow

Module: generative_models.utils.logging.mlflow

Source: generative_models/utils/logging/mlflow.py

Overview

MLflow logger implementation for the Workshop library.

This module provides a logger implementation that integrates with MLflow for experiment tracking, including metrics, parameters, artifacts, and models.

Classes

MLFlowLogger

class MLFlowLogger

Functions

init

def __init__()

close

def close()

end_run

def end_run()

log_artifact

def log_artifact()

log_artifacts

def log_artifacts()

log_histogram

def log_histogram()

log_hyperparams

def log_hyperparams()

log_image

def log_image()

log_model

def log_model()

log_scalar

def log_scalar()

log_scalars

def log_scalars()

log_text

def log_text()

Module Statistics

• Classes: 1
• Functions: 12
• Imports: 11