rapids/src/features/sms_features.R

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# If you want to implement extra features, source(..) a new file and duplicate the line "features <- merge(...)", then
# swap base_sms_features(...) for your own function
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source("packrat/init.R")
source("src/features/sms/sms_base.R")
library(dplyr, warn.conflicts = FALSE)
sms <- read.csv(snakemake@input[[1]])
day_segment <- snakemake@params[["day_segment"]]
requested_features <- snakemake@params[["features"]]
sms_type <- snakemake@params[["sms_type"]]
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features <- data.frame(local_date = character(), stringsAsFactors = FALSE)
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# Compute base SMS features
features <- merge(features, base_sms_features(sms, sms_type, day_segment, requested_features), by="local_date", all = TRUE)
if(ncol(features) != length(requested_features) + 1)
stop(paste0("The number of features in the output dataframe (=", ncol(features),") does not match the expected value (=", length(requested_features)," + 1). Verify your SMS feature extraction functions"))
write.csv(features, snakemake@output[[1]], row.names = FALSE)