Category: Hyperparameter

Using Optuna to Optimize PyTorch Lightning Hyperparameters

From: https://medium.com/optuna/using-optuna-to-optimize-pytorch-lightning-hyperparameters-d9e04a481585 This post uses pytorch-lightning v0.6.0 (PyTorch v1.3.1)and optuna v1.1.0. PyTorch Lightning + Optuna! Optuna is a hyperparameter optimization framework applicable to machine learning frameworks and black-box optimization solvers. PyTorch Lightning provides a lightweight PyTorch wrapper for better scaling with less code. Combining the two of them allows for automatic tuning of hyperparameters to find the … Continue reading Using Optuna to Optimize PyTorch Lightning Hyperparameters →

Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial

From: https://www.business-science.io/code-tools/2020/01/21/hyperparamater-tune-product-price-prediction.html Product price estimation and prediction is one of the skills I teach frequently - It's a great way to analyze competitor product information, your own company's product data, and develop key insights into which product features influence product prices. Learn how to model product car prices and calculate depreciation curves using the brand new tune package for Hyperparameter Tuning Machine Learning Models. This is … Continue reading Product Price Prediction: A Tidy Hyperparameter Tuning and Cross Validation Tutorial →