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我想比較一些推薦算法對彼此，但我遇到了一些內存問題。我使用的數據集是https://drive.google.com/open?id=0By5yrncwiz_VZUpiak5Hc2l3dkERecommenderlab運行到內存問題
以下是我的代碼：
library(recommenderlab)
library(Matrix)
Amazon <- read.csv(Path to Reviews.csv, header = TRUE,
col.names = c("ID","ProductId","UserId","HelpfulnessNumerator","HelpfulnessDenominator","Score",
"Time","Summary","Text"),
colClasses = c("NULL","character","character","NULL","NULL","integer","NULL","NULL","NULL"))
Amazon <- Amazon[,c("UserId","ProductId","Score")]
Amazon <- Amazon[!duplicated(Amazon[1:2]),] ## To get unique values
scheme <- evaluationScheme(r, method = "split", train = .7,
k = 1, given = 1 ,goodRating = 4)
algorithms <- list(
"user-based CF" = list(name="UBCF", param=list(normalize = "Z-score",
method="Cosine",
nn=50, minRating=3)),
"item-based CF" = list(name="IBCF", param=list(normalize = "Z-score"
))
)
results <- evaluate(scheme, algorithms, n=c(1, 3, 5))
我收到以下錯誤：
UBCF run fold/sample [model time/prediction time]
1 Timing stopped at: 1.88 0 1.87
Error in asMethod(object) :
Cholmod error 'problem too large' at file ../Core/cholmod_dense.c, line 105
IBCF run fold/sample [model time/prediction time]
1 Timing stopped at: 4.93 0.02 4.95
Error in asMethod(object) :
Cholmod error 'problem too large' at file ../Core/cholmod_dense.c, line 105
Warning message:
In .local(x, method, ...) :
Recommender 'user-based CF' has failed and has been removed from the results!
Recommender 'item-based CF' has failed and has been removed from the results!
我試圖用recommenderlabrats包，我認爲會解決這個問題但無法安裝它。 https://github.com/sanealytics/recommenderlabrats
這給了我一些錯誤，這些錯誤我不打包做的意義：
C：/rbuildtools/3.3/gcc-4.6.3/bin /../ LIB/GCC/i686的-w64- mingw32/4.6.3 /../../../../ i686-w64-mingw32/bin/ld.exe：找不到-llapack collect2：ld返回1退出狀態
然後我來了此鏈接解決推薦的版本問題，但它不適用於我 Error while installing package from github in R. Error in dyn.load
有關如何解決內存問題的任何幫助，讚賞