Parsnip
Build a model
model fitting
Get started by learning how to specify and train a model using tidymodels. Read more ...
0001/01/01
Regression models two ways
model fitting
Create and train different kinds of regression models with different computational engines. Read more ...
0001/01/01
Classification models using a neural network
model fitting
Train a classification model and evaluate its performance. Read more ...
0001/01/01
Nested resampling
tuning
Estimate the best hyperparameters for a model using nested resampling. Read more ...
0001/01/01
Preprocess your data with recipes
pre-processing
Prepare data for modeling with modular preprocessing steps. Read more ...
0001/01/01
Evaluate your model with resampling
resampling
Measure model performance by generating different versions of the training data through resampling. Read more ...
0001/01/01
Iterative Bayesian optimization of a classification model
model tuning
Identify the best hyperparameters for a model using Bayesian optimization of iterative search. Read more ...
0001/01/01
Categories
model-fitting
model-tuning
package
pre-processing
resampling
statistical-analysis
tuning