The Victorian Gasolier is an example of an industrial gas pipeline terminating in an elegant fixture. Similarly, our machine learning pipeline needs to be functional, compatible with other systems, and attractive for both developers and users. This post contains an example of python machine learning model development using Scikit-learn pipelines and deployment with MLflow. The steps include:

  • Utilizing Scikit-learn pipeline with custom transformers
  • Output of model and custom transformer code to MLflow tracking server
  • Executing using ML Project to link model code to results
  • Serving of model from the MLflow tracking server via a REST-API

#deployment #scikit-learn #mlflow #machine-learning-python #pipeline

Machine Learning Model Development and Deployment with MLflow and Scikit-learn Pipelines
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