findk: Find the number of weights not yet integer.
In predomics/predomicspkg: Interpretable Prediction in Omics Data

findk

R Documentation

Find the number of weights not yet integer.

This method return a maximum number of weights of the model not yet integer.

findk(
  x,
  y,
  nfolds = 1,
  gamma = 1,
  k.sparse = NULL,
  vartype = "real",
  lb = -1,
  ub = 1
)

`x`	matrix or dataframe of predictors, of dimension n*p; each row is an observation vector.
`y`	response variable (1 or -1)
`nfolds`	k-folds cross-validation that we want test. Dedault value is 1.
`gamma`	is the hinge loss parameter.. Defines the margin
`k.sparse`	is the sparsity (non-negative real value). Default value is `k.sparse = NULL` - no constraint.
`vartype`	is the type of coefficients : `cplexAPI::CPX_INTEGER, cplexAPI::CPX_BINARY, cplexAPI::CPX_CONTINUOUS`. Default `vartype = cplexAPI::CPX_INTEGER`
`lb`	is the lower bound of coefficients
`ub`	is the upper bound of coefficients