FTRLProx_Model_Matrix: Construct Sparse Design Matrix for FTRL-Proximal Model

In yanyachen/rFTRLProximal: FTRL-Proximal Algorithm

Description

Construct a sparse model or "design" matrix, form a formula and data frame for FTRL-Proximal Algorithm. A wrapper of sparse.model.matrix function in the Matrix package. Please always use this function to generate sparse matrix for training and prediction.

Usage

FTRLProx_Model_Matrix(formula = ~., data, label = NULL, ...)

Arguments

formula	a model formula.
data	a data.frame or data.table. The original data.
label	a vector containing labels.
...	further arguments passed to sparse.model.matrix.

Value

constructed dataset, an object of class "ftrl.Dataset"

Examples

library(data.table)
library(FeatureHashing)
data(ipinyou)
f <- ~ 0 + BidID + IP + City + AdExchange + BiddingPrice + PayingPrice
m.train <- FTRLProx_Model_Matrix(f, ipinyou.train[, -"IsClick", with = FALSE],
                                 label = as.numeric(ipinyou.train$IsClick))

yanyachen/rFTRLProximal documentation built on May 4, 2019, 2:30 p.m.