AutoWord2VecModeler.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/AutoWord2VecModeler.R
\name{AutoWord2VecModeler}
\alias{AutoWord2VecModeler}
\title{Automated word2vec data generation via H2O}
\usage{
AutoWord2VecModeler(
  data,
  BuildType = "Combined",
  stringCol = c("Text_Col1", "Text_Col2"),
  KeepStringCol = FALSE,
  model_path = NULL,
  vects = 100,
  SaveStopWords = FALSE,
  MinWords = 1,
  WindowSize = 12,
  Epochs = 25,
  StopWords = NULL,
  SaveModel = "standard",
  Threads = max(1, parallel::detectCores() - 2),
  MaxMemory = "28G",
  SaveOutput = FALSE
)
}
\arguments{
\item{data}{Source data table to merge vects onto}

\item{BuildType}{Choose from "individual" or "combined". Individual will build a model for every text column. Combined will build a single model for all columns.}

\item{stringCol}{A string name for the column to convert via word2vec}

\item{KeepStringCol}{Set to TRUE if you want to keep the original string column that you convert via word2vec}

\item{model_path}{A string path to the location where you want the model and metadata stored}

\item{vects}{The number of vectors to retain from the word2vec model}

\item{SaveStopWords}{Set to TRUE to save the stop words used}

\item{MinWords}{For H2O word2vec model}

\item{WindowSize}{For H2O word2vec model}

\item{Epochs}{For H2O word2vec model}

\item{StopWords}{For H2O word2vec model}

\item{SaveModel}{Set to "standard" to save normally; set to "mojo" to save as mojo. NOTE: while you can save a mojo, I haven't figured out how to score it in the AutoH20Scoring function.}

\item{Threads}{Number of available threads you want to dedicate to model building}

\item{MaxMemory}{Amount of memory you want to dedicate to model building}

\item{SaveOutput}{Set to TRUE to save your models to file}
}
\description{
This function allows you to automatically build a word2vec model and merge the data onto your supplied dataset
}
\examples{
\donttest{
data <- AutoWord2VecModeler(data,
                            BuildType = "individual",
                            stringCol = c("Text_Col1","Text_Col2"),
                            KeepStringCol = FALSE,
                            model_path = normalizePath("./"),
                            vects = 100,
                            SaveStopWords = FALSE,
                            MinWords = 1,
                            WindowSize = 1,
                            Epochs = 25,
                            StopWords = NULL,
                            SaveModel = "standard",
                            Threads = max(1,parallel::detectCores()-2),
                            MaxMemory = "28G",
                            SaveOutput = TRUE)
}
}
\seealso{
Other Feature Engineering: 
\code{\link{AutoDataPartition}()},
\code{\link{AutoFourierFeatures}()},
\code{\link{AutoLagRollStatsScoring}()},
\code{\link{AutoLagRollStats}()},
\code{\link{AutoTransformationCreate}()},
\code{\link{AutoTransformationScore}()},
\code{\link{ContinuousTimeDataGenerator}()},
\code{\link{CreateCalendarVariables}()},
\code{\link{CreateHolidayVariables}()},
\code{\link{DT_GDL_Feature_Engineering}()},
\code{\link{DummifyDT}()},
\code{\link{H2oAutoencoder}()},
\code{\link{ModelDataPrep}()},
\code{\link{Partial_DT_GDL_Feature_Engineering}()},
\code{\link{TimeSeriesFill}()}
}
\author{
Adrian Antico
}
\concept{Feature Engineering}