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R/pkg/R/mllib.R

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@@ -53,26 +53,27 @@ setClass("AFTSurvivalRegressionModel", representation(jobj = "jobj"))
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#' @note KMeansModel since 2.0.0
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setClass("KMeansModel", representation(jobj = "jobj"))
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#' Saves the machine learning model to the input path
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#' Saves the MLlib model to the input path
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#'
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#' Saves the machine learning model to the input path. For more information, see the specific
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#' machine learning model below.
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#' Saves the MLlib model to the input path. For more information, see the specific
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#' MLlib model below.
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#' @rdname write.ml
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#' @name write.ml
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#' @export
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#' @seealso \link{spark.glm}, \link{spark.kmeans}, \link{spark.naiveBayes}, \link{spark.survreg}
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#' @seealso \link{spark.glm}, \link{glm}
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#' @seealso \link{spark.kmeans}, \link{spark.naiveBayes}, \link{spark.survreg}
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#' @seealso \link{read.ml}
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NULL
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#' Predicted values based on a machine learning model
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#' Makes predictions from a MLlib model
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#'
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#' Predicted values based on a machine learning model. For more information, see the specific
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#' machine learning model below.
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#' Makes predictions from a MLlib model. For more information, see the specific
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#' MLlib model below.
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#' @rdname predict
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#' @name predict
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#' @export
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#' @seealso \link{spark.glm}, \link{spark.kmeans}, \link{spark.naiveBayes}, \link{spark.survreg}
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#' @seealso \link{read.ml}
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#' @seealso \link{spark.glm}, \link{glm}
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#' @seealso \link{spark.kmeans}, \link{spark.naiveBayes}, \link{spark.survreg}
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NULL
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#' Generalized Linear Models
@@ -528,6 +529,7 @@ setMethod("write.ml", signature(object = "KMeansModel", path = "character"),
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#' @rdname read.ml
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#' @name read.ml
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#' @export
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#' @seealso \link{write.ml}
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#' @examples
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#' \dontrun{
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#' path <- "path/to/model"

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