Neptune blog

In-Depth Articles for Machine Learning Practitioners

Hyperparameter Tuning in Python: a Complete Guide 2020

Choosing the correct hyperparameters for machine learning or deep learning models is one of the best ways to extract the last juice […]

How to Track Hyperparameters of Machine Learning Models?

Machine learning algorithms are tunable by multiple gauges called hyperparameters. Recent deep learning models are tunable by tens of hyperparameters, that together […]

Understanding LightGBM Parameters (and How to Tune Them)

I’ve been using lightGBM for a while now. It’s been my go-to algorithm for most tabular data problems. The list of awesome […]

Optuna vs Hyperopt: Which Hyperparameter Optimization Library Should You Choose?

Thinking which library should you choose for hyperparameter optimization? Been using Hyperopt for a while and feel like changing? Just heard about Optuna and […]

How to Do Hyperparameter Tuning on Any Python Script in 3 Easy Steps

You wrote a Python script that trains and evaluates your machine learning model. Now, you would like to automatically tune hyperparameters to […]

Scikit Optimize: Bayesian Hyperparameter Optimization in Python

Need to tune hyperparameters of your machine learning model and don’t want to do it by hand? Thinking about performing bayesian hyperparameter […]