\name{codez_model_methods}
\alias{predict.codez_model}
\alias{summary.codez_model}
\alias{autoplot.codez_model}
\alias{plot.codez_model}
\alias{as.data.frame.codez_model}
\title{codez model methods}
\usage{
\method{predict}{codez_model}(object, type = c("forecast", "raw", "plots", "benchmarks"), ...)
\method{summary}{codez_model}(object, ...)
\method{autoplot}{codez_model}(object, feature = NULL, ...)
\method{plot}{codez_model}(x, ...)
\method{as.data.frame}{codez_model}(x, row.names = NULL, optional = FALSE, ...)
}
\arguments{
\item{object}{A \code{codez_model}.}
\item{x}{A \code{codez_model}.}
\item{type}{Output type for \code{predict()}.}
\item{feature}{Optional feature name or names to plot.}
\item{...}{Additional arguments reserved for future use.}
\item{row.names}{Optional row names for \code{as.data.frame()}.}
\item{optional}{Optional argument passed through by \code{as.data.frame()}.}
}
\value{
\code{predict()} and \code{as.data.frame()} return forecast data. \code{summary()}
returns a summary object. \code{autoplot()} returns a lightweight codez plot
object and \code{plot()} draws it with base R graphics.
}
\description{
S3 helpers for fitted codez 2.0 models.
}
