转换 quanteda dfmSparse matrix->data.frame->h2o 添加不需要的 NaN 初始行

Converting quanteda dfmSparse matrix->data.frame->h2o adds unwanted initial row of NaNs

我有一个用 quanteda. (The actual class is dfmSparse which is a subclass of dfm-matrix 创建的 10025x1417 TFIDF dfm 矩阵。 当我使用 as.data.frame 转换为 h2o,然后转换为 as.h2o 时,我错误地得到 10026x1417,第一行多余的 NaN 是不需要的。 出于性能原因,我不想创建具有完整密集矩阵的临时 df。

代码如下(我在小数据上无法复现):

library(quanteda)
mat <- quanteda::weight(theDfm, type="tfidf")

# Convert to df then h2o, correctly gives 10025x1417 matrix
mat_df  <- as.data.frame(mat) # this will dispatch quanteda::as.data.frame for dfmSparse
mat_h2o <- as.h2o(mat_df)

# Convert in one go, get 10026x1417, get unwanted extra first row of NaNs
bad_h2o <- as.h2o(as.data.frame(mat))
dim(bad_h2o )
[1] 10026  1417

# Which as.data.frame method this uses
> showMethods(quanteda::as.data.frame)
Function: as.data.frame (package base)
x="ANY"
x="dfm"
x="dfmSparse"
    (inherited from: x="dfm")
x="matrix"
    (inherited from: x="ANY")

#########################################
# Ken Benoit requested sessionInfo()

R version 3.2.3 (2015-12-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] h2o_3.8.3.3         statmod_1.4.22      quanteda_0.9.8      RevoUtilsMath_3.2.3

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.2      lattice_0.20-33  SnowballC_0.5.1  bitops_1.0-6     chron_2.3-47     grid_3.2.3       R6_2.1.1        
 [8] jsonlite_0.9.19  magrittr_1.5     httr_1.0.0       stringi_1.0-1    data.table_1.9.6 ca_0.58          Matrix_1.2-3    
[15] tools_3.2.3      stringr_1.0.0    RCurl_1.95-4.7   parallel_3.2.3 

For performance reasons I don't want to create a temporary df with the full dense matrix.

事实上,quanteda 会在将稀疏矩阵转换为密集矩阵之前将其转换 data.framehttps://github.com/kbenoit/quanteda/blob/master/R/dfm-classes.R#L513-L516

如果需要将稀疏矩阵导入h2o,将其转换为svmlight格式并使用importFile。请参阅此主题:How to use H2o on feature hashed matrix in R