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#' Feature Transformation -- Normalizer (Transformer)
#'
#' Normalize a vector to have unit norm using the given p-norm.
#'
#' @template roxlate-ml-feature-input-output-col
#' @template roxlate-ml-feature-transformer
#'
#' @param p Normalization in L^p space. Must be >= 1. Defaults to 2.
#'
#' @export
ft_normalizer <- function(x, input_col = NULL, output_col = NULL,
p = 2, uid = random_string("normalizer_"), ...) {
check_dots_used()
UseMethod("ft_normalizer")
}
ml_normalizer <- ft_normalizer
#' @export
ft_normalizer.spark_connection <- function(x, input_col = NULL, output_col = NULL,
p = 2, uid = random_string("normalizer_"), ...) {
.args <- list(
input_col = input_col,
output_col = output_col,
p = p,
uid = uid
) %>%
c(rlang::dots_list(...)) %>%
validator_ml_normalizer()
jobj <- spark_pipeline_stage(
x, "org.apache.spark.ml.feature.Normalizer",
input_col = .args[["input_col"]], output_col = .args[["output_col"]], uid = .args[["uid"]]
) %>%
invoke("setP", .args[["p"]])
new_ml_normalizer(jobj)
}
#' @export
ft_normalizer.ml_pipeline <- function(x, input_col = NULL, output_col = NULL,
p = 2, uid = random_string("normalizer_"), ...) {
stage <- ft_normalizer.spark_connection(
x = spark_connection(x),
input_col = input_col,
output_col = output_col,
p = p,
uid = uid,
...
)
ml_add_stage(x, stage)
}
#' @export
ft_normalizer.tbl_spark <- function(x, input_col = NULL, output_col = NULL,
p = 2, uid = random_string("normalizer_"), ...) {
stage <- ft_normalizer.spark_connection(
x = spark_connection(x),
input_col = input_col,
output_col = output_col,
p = p,
uid = uid,
...
)
ml_transform(stage, x)
}
new_ml_normalizer <- function(jobj) {
new_ml_transformer(jobj, class = "ml_normalizer")
}
validator_ml_normalizer <- function(.args) {
.args <- validate_args_transformer(.args)
.args[["p"]] <- cast_scalar_double(.args[["p"]])
if (.args[["p"]] < 1) stop("`p` must be at least 1.")
.args
}
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