About
Streamline your machine learning development with mleko, a Python library designed for modularity and customization. mleko integrates seamlessly into your existing workflows, offering robust solutions for data ingestion, conversion, partitioning, feature selection, transformation, and model training. Its intuitive directed acyclic graph (DAG) architecture unifies your entire workflow, promoting reproducibility and reducing iteration time. With mleko, you can focus on building robust models efficiently, while its caching system optimizes performance. Whether you're ingesting data from AWS S3 or Kaggle, transforming CSVs to Vaex DataFrames, or tuning hyperparameters for your models, mleko has got you covered.