Allstate Kaggle Competition ML Capstone Project
Topic modelling - optimization of model hyper params. Notebooks are examples of using our optimization pipeline for sample data.
Utility functions for hyperparameter optimization using hyperopt, especially from Jupyter notebooks.
This notebook sets up MLFlow for experiment tracking, including data preprocessing, training a random forest regressor, logging metrics and parameters, hyperparameter optimization with hyperopt, and model registration. It provides steps for environment setup and installation.
Add a description, image, and links to the hyperopt topic page so that developers can more easily learn about it.
To associate your repository with the hyperopt topic, visit your repo's landing page and select "manage topics."