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Commit d169ac8b authored by Dan Houghton's avatar Dan Houghton Committed by James Lamb
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[R] Correcting lgb.prepare output comment (#1831) 

* Correcting lgb.prepare output comment

* updated Roxygen files
parent ace9c99c
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Showing with 26 additions and 21 deletions
R-package/demo/categorical_features_prepare.R
View file @ d169ac8b
...@@ -31,24 +31,24 @@ str(bank) ...@@ -31,24 +31,24 @@ str(bank)
# For this task, we use lgb.prepare # For this task, we use lgb.prepare
# The function transforms the data into a fittable data # The function transforms the data into a fittable data
# #
# Classes 'data.table' and 'data.frame': 4521 obs. of 17 variables: # Classes ‘data.table’ and 'data.frame': 4521 obs. of 17 variables:
# $ age : int 30 33 35 30 59 35 36 39 41 43 ... # $ age : int 30 33 35 30 59 35 36 39 41 43 ...
# $ job : chr "unemployed" "services" "management" "management" ... # $ job : num 11 8 5 5 2 5 7 10 3 8 ...
# $ marital : chr "married" "married" "single" "married" ... # $ marital : num 2 2 3 2 2 3 2 2 2 2 ...
# $ education: chr "primary" "secondary" "tertiary" "tertiary" ... # $ education: num 1 2 3 3 2 3 3 2 3 1 ...
# $ default : chr "no" "no" "no" "no" ... # $ default : num 1 1 1 1 1 1 1 1 1 1 ...
# $ balance : int 1787 4789 1350 1476 0 747 307 147 221 -88 ... # $ balance : int 1787 4789 1350 1476 0 747 307 147 221 -88 ...
# $ housing : chr "no" "yes" "yes" "yes" ... # $ housing : num 1 2 2 2 2 1 2 2 2 2 ...
# $ loan : chr "no" "yes" "no" "yes" ... # $ loan : num 1 2 1 2 1 1 1 1 1 2 ...
# $ contact : chr "cellular" "cellular" "cellular" "unknown" ... # $ contact : num 1 1 1 3 3 1 1 1 3 1 ...
# $ day : int 19 11 16 3 5 23 14 6 14 17 ... # $ day : int 19 11 16 3 5 23 14 6 14 17 ...
# $ month : chr "oct" "may" "apr" "jun" ... # $ month : num 11 9 1 7 9 4 9 9 9 1 ...
# $ duration : int 79 220 185 199 226 141 341 151 57 313 ... # $ duration : int 79 220 185 199 226 141 341 151 57 313 ...
# $ campaign : int 1 1 1 4 1 2 1 2 2 1 ... # $ campaign : int 1 1 1 4 1 2 1 2 2 1 ...
# $ pdays : int -1 339 330 -1 -1 176 330 -1 -1 147 ... # $ pdays : int -1 339 330 -1 -1 176 330 -1 -1 147 ...
# $ previous : int 0 4 1 0 0 3 2 0 0 2 ... # $ previous : int 0 4 1 0 0 3 2 0 0 2 ...
# $ poutcome : chr "unknown" "failure" "failure" "unknown" ... # $ poutcome : num 4 1 1 4 4 1 2 4 4 1 ...
# $ y : chr "no" "no" "no" "no" ... # $ y : num 1 1 1 1 1 1 1 1 1 1 ...
bank <- lgb.prepare(data = bank) bank <- lgb.prepare(data = bank)
str(bank) str(bank)
......
R-package/man/lgb.Dataset.Rd
View file @ d169ac8b
...@@ -5,7 +5,8 @@ ...@@ -5,7 +5,8 @@
\title{Construct lgb.Dataset object} \title{Construct lgb.Dataset object}
\usage{ \usage{
lgb.Dataset(data, params = list(), reference = NULL, colnames = NULL, lgb.Dataset(data, params = list(), reference = NULL, colnames = NULL,
categorical_feature = NULL, free_raw_data = TRUE, info = list(), ...) categorical_feature = NULL, free_raw_data = TRUE, info = list(),
...)
} }
\arguments{ \arguments{
\item{data}{a \code{matrix} object, a \code{dgCMatrix} object or a character representing a filename} \item{data}{a \code{matrix} object, a \code{dgCMatrix} object or a character representing a filename}
......
R-package/man/lgb.cv.Rd
View file @ d169ac8b
...@@ -4,11 +4,13 @@ ...@@ -4,11 +4,13 @@
\alias{lgb.cv} \alias{lgb.cv}
\title{Main CV logic for LightGBM} \title{Main CV logic for LightGBM}
\usage{ \usage{
lgb.cv(params = list(), data, nrounds = 10, nfold = 3, label = NULL, lgb.cv(params = list(), data, nrounds = 10, nfold = 3,
weight = NULL, obj = NULL, eval = NULL, verbose = 1, record = TRUE, label = NULL, weight = NULL, obj = NULL, eval = NULL,
eval_freq = 1L, showsd = TRUE, stratified = TRUE, folds = NULL, verbose = 1, record = TRUE, eval_freq = 1L, showsd = TRUE,
init_model = NULL, colnames = NULL, categorical_feature = NULL, stratified = TRUE, folds = NULL, init_model = NULL,
early_stopping_rounds = NULL, callbacks = list(), ...) colnames = NULL, categorical_feature = NULL,
early_stopping_rounds = NULL, callbacks = list(),
reset_data = FALSE, ...)
} }
\arguments{ \arguments{
\item{params}{List of parameters} \item{params}{List of parameters}
...@@ -62,6 +64,8 @@ If early stopping occurs, the model will have 'best_iter' field} ...@@ -62,6 +64,8 @@ If early stopping occurs, the model will have 'best_iter' field}
\item{callbacks}{list of callback functions \item{callbacks}{list of callback functions
List of callback functions that are applied at each iteration.} List of callback functions that are applied at each iteration.}
\item{reset_data}{Boolean, setting it to TRUE (not the default value) will transform the booster model into a predictor model which frees up memory and the original datasets}
\item{...}{other parameters, see Parameters.rst for more information. A few key parameters: \item{...}{other parameters, see Parameters.rst for more information. A few key parameters:
\itemize{ \itemize{
\item{boosting}{Boosting type. \code{"gbdt"} or \code{"dart"}} \item{boosting}{Boosting type. \code{"gbdt"} or \code{"dart"}}
......
R-package/man/lgb.train.Rd
View file @ d169ac8b
...@@ -5,10 +5,10 @@ ...@@ -5,10 +5,10 @@
\title{Main training logic for LightGBM} \title{Main training logic for LightGBM}
\usage{ \usage{
lgb.train(params = list(), data, nrounds = 10, valids = list(), lgb.train(params = list(), data, nrounds = 10, valids = list(),
obj = NULL, eval = NULL, verbose = 1, record = TRUE, eval_freq = 1L, obj = NULL, eval = NULL, verbose = 1, record = TRUE,
init_model = NULL, colnames = NULL, categorical_feature = NULL, eval_freq = 1L, init_model = NULL, colnames = NULL,
early_stopping_rounds = NULL, callbacks = list(), reset_data = FALSE, categorical_feature = NULL, early_stopping_rounds = NULL,
...) callbacks = list(), reset_data = FALSE, ...)
} }
\arguments{ \arguments{
\item{params}{List of parameters} \item{params}{List of parameters}
......
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