% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/RcppExports.R
\name{maxent_train}
\alias{maxent_train}
\title{Train a FeaturedSpace model}
\usage{
maxent_train(
  fs_ptr,
  max_iter = 500L,
  convergence = 1e-05,
  beta_multiplier = 1,
  min_deviation = 0.001
)
}
\arguments{
\item{fs_ptr}{External pointer to a FeaturedSpace object.}

\item{max_iter}{Maximum number of training iterations (default 500).}

\item{convergence}{Convergence threshold (default 1e-5).}

\item{beta_multiplier}{Regularization multiplier (default 1.0).}

\item{min_deviation}{Minimum sample deviation floor (default 0.001).}
}
\value{
Named list with elements: \code{loss}, \code{entropy},
  \code{iterations}, \code{converged}, \code{lambdas}.
}
\description{
Runs the sequential coordinate-ascent MaxEnt optimization.
}
