Add a column of row numbers to a data frame
Boosted trees via C5.0
Control the fit function
General Interface for Decision Tree Models
Contrast function for one-hot encodings
General Interface for Boosted Trees
Data Set Characteristics Available when Fitting Models
Check to ensure that ellipses are empty
Convenience function for intervals
Functions required for parsnip-adjacent packages
Tools for models that predict on sub-models
Fit a Model Specification to a Dataset
Evaluate parsnip model arguments
Working with the parsnip model environment
Construct a single row summary "glance" of a model, fit, or other object
General Interface for Logistic Regression Models
General Interface for Linear Regression Models
Simple interface to MLP models via keras
General Interface for K-Nearest Neighbor Models
General Interface for null models
General Interface for Single Layer Neural Network
Model Fit Object Information
Model Specification Information
Print helper for model objects
Other predict methods.
Fit a simple, non-informative model
General Interface for Multinomial Regression Models
General Interface for MARS
Model predictions across many sub-models
Prepend a new class
Repair a model call object
Objects exported from other packages
Print the model call
Tools to Register Models
Change elements of a model specification
Model predictions
Tidy method for null models
Turn a parsnip model object into a tidy tibble
Determine required packages for a model
Decision trees via rpart
Declare a computational engine and specific arguments
General Interface for Parametric Survival Models
General interface for polynomial support vector machines
General interface for radial basis function support vector machines
tidy methods for glmnet models
A placeholder function for argument values
General Interface for Random Forest Models
Boosted trees via xgboost
Resolve a Model Specification for a Computational Engine
Determine varying arguments
Succinct summary of parsnip object