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mlr.regr.glmnet

mlr.regr.glmnet

Visibility: public Uploaded 14-06-2016 by Rafael Gomes Mantovani R_3.2.3, OpenML_1.0, mlr_2.9, glmnet_2.0.2 2 runs
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  • Verified_Supervised_Regression
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Learner mlr.regr.glmnet from package(s) glmnet.

Parameters

alpha
big
devmax
dfmax
eps
exact
exclude
exmx
factory
family
fdev
intercept
lambda
lambda.min.ratio
lower.limits
maxit
mnlam
mxit
nlambda
openml.kinddefault: Mersenne-Twister
openml.normal.kinddefault: Inversion
openml.seeddefault: 1
penalty.factor
pmax
pmin
prec
s
standardize
standardize.response
thresh
type.gaussian
upper.limits

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