get_Model_params

is the model's name for which you want to display the default parameters ("elasticnet" by default).
For the "svm" model, a.k.a Support Vector Machine, Gaussian RBF or Laplace kernel ("rbfdot" or "laplacedot" respectively)
are supported (limitation from the <code><a rd-options="kernlab" href="/link/sigest?package=iqspr&version=2.3&to=kernlab" data-mini-rdoc="kernlab::sigest">sigest</a></code> function used as optimizer on the sigma parameter).

model_name

Get a list of default parameters for a given regression algorithm.

Autonomous generation of novel organic compounds with target physicochemical properties
initially constrained by the user. This package has the ambition to become an unavoidable tool in the innovation of novel
materials and/or drugs with specific target properties.

Guillaume Lambard

iqspr

Inverse Molecular Design

get_Model_params function

is the model's name for which you want to display the default parameters ("elasticnet" by default).
For the "svm" model, a.k.a Support Vector Machine, Gaussian RBF or Laplace kernel ("rbfdot" or "laplacedot" respectively)
are supported (limitation from the <code><a rd-options='kernlab' href='sigest'>sigest</a></code> function used as optimizer on the sigma parameter).

get_Model_params: get a list of default parameters for a given regression algorithm

Description

Usage

Arguments

Value

Examples