Tune, compare, and work with your models
Choose hyperparameters for a model by training on a grid of many possible parameter values. Read article »
Estimate the best hyperparameters for a model using nested resampling. Read article »
Identify the best hyperparameters for a model using Bayesian optimization of iterative search. Read article »
Prepare text data for predictive modeling and tune with both grid and iterative search. Read article »
Create models that use coefficients, extract them from fitted models, and visualize them. Read article »
Assess how accurate a model is when aggregating predictions to different spatial scales. Read article »
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