PropertyValue
nif:beginIndex
  • 0 (xsd:integer)
nif:broaderContext
nif:endIndex
  • 400 (xsd:integer)
nif:isString
  • L1 penalties enforce sparsity, whereas L2 penalties enable correlated predictors within groups (e.g. genes, pathways) to enter the model as well. gpu-lasso exploits the optimization scheme of greedy coordinate descent (GCD) which, upon estimating regression coefficients across all variables, updates the single variable leading to the greatest improvement to the likelihood with its new coefficient.
is nif:referenceContext of
rdf:type