Choose hyperparameters for a model by training on a grid of many possible parameter values. Read more »
Prepare data for modeling with modular preprocessing steps. Read more »
Create a new performance metric and integrate it with yardstick functions. Read more »
Measure model performance by generating different versions of the training data through resampling. Read more »
Estimate the best values for hyperparameters that cannot be learned directly during model training. Read more »
Prepare text data for predictive modeling and tune with both grid and iterative search. Read more »
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