Class for converting parameter values back and forth to the unit range
Functions to finalize data-specific parameter ranges
dials: Tools for working with tuning parameters
Parameters for class weights for imbalanced problems
Degrees of freedom (integer)
conditional_min_criterion
Parameters for possible engine parameters for partykit models
Parameters for exponents
Possible engine parameters for lightbgm
Learning rate
Parameter for the effective minimum distance between embedded points
Minkowski distance parameter
Parameters for BART models
These parameters are used for constructing Bayesian adaptive regression tree
(BART) models.
Mixture of penalization terms
Parameters for possible engine parameters for earth models
Neural network parameters
Parameters for possible engine parameters for C5.0
Gradient descent momentum parameter
Number of neighbors
Number of new features
MARS pruning methods
Tools for creating new parameter objects
Number of randomly sampled predictors
Number of knots (integer)
Proportion of Randomly Selected Predictors
Construct a new parameter set object
Amount of regularization/penalization
Return a dials parameter object associated with parameters
Near-zero variance parameters
Number of unique values for pre-processing
Parameters for possible engine parameters for randomForest
Space-filling parameter grids
Objects exported from other packages
Number of Computation Runs
Estimation methods for regularized models
Amount of Trimming
Parameter to determine number of tokens in ngram
Create grids of tuning parameters
Number of tokens in vocabulary
Parameter to enable feature selection
Proportion of predictors
Parameters for neural network learning rate schedulers
These parameters are used for constructing neural network models.
Word frequencies for removal
Tools for working with parameter ranges
Parameters for possible engine parameters for ranger
Maximum number of retained tokens
Parameter for "double normalization"
when creating token counts
Succinct summary of parameter objects
Bayesian PCA parameters
Kernel parameters
Kernel functions for distance weighting
General thresholding parameter
Text hashing parameters
Term frequency weighting methods
Token types
Parameters for class-imbalance sampling
Information on tuning parameters within an object
Early stopping parameter
Parameter functions related to tree- and rule-based models.
Harmonic Frequency
Number of cut-points for binning
Kernel Smoothness
Parameters for possible engine parameters for sda models
Number of Clusters
Rolling summary statistic for moving windows
Proportion of data used for validation
Tools for working with parameter values
Survival Model Link Function
Parameter for the moving window size
Parametric distributions for censored data
Parameters for possible engine parameters for xgboost
Placeholder for unknown parameter values
Update a single parameter in a parameter set
Parameter to determine which neighbors to use
Laplace correction parameter
Parameters to adjust effective degrees of freedom
Support vector machine parameters
Parameters for possible engine parameters for Cubist
Activation functions between network layers