Activation functions between network layers
Parameters to adjust effective degrees of freedom
Parameter to determine which neighbors to use
Parameters for BART models These parameters are used for constructing Bayesian adaptive regression tree (BART) models.
Parameters for possible engine parameters for C5.0
Parameters for class weights for imbalanced problems
Parameters for possible engine parameters for partykit models
Parameters for possible engine parameters for Cubist
dials: Tools for working with tuning parameters
Parameters for possible engine parameters for earth models
Class for converting parameter values back and forth to the unit range
Functions to finalize data-specific parameter ranges
Parameter for the effective minimum distance between embedded points
Number of unique values for pre-processing
Proportion of Randomly Selected Predictors
Tools for creating new parameter objects
Parameter to determine number of tokens in ngram
Information on tuning parameters within an object
Return a dials parameter object associated with parameters
Parameters for possible engine parameters for randomForest
Parameters for possible engine parameters for ranger
Estimation methods for regularized models
Parameters for neural network learning rate schedulers These parameters are used for constructing neural network models.
Parameters for possible engine parameters for sda models
Rolling summary statistic for moving windows
Parametric distributions for censored data
Parameter functions related to tree- and rule-based models.
Placeholder for unknown parameter values
Update a single parameter in a parameter set
Parameter for '"double normalization"' when creating token counts
Parameters for possible engine parameters for xgboost