Disable (SOME) feature cleaning for ESM data.
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144f0d0dcf
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53ec52a954
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@ -44,11 +44,11 @@ rapids_cleaning <- function(sensor_data_files, provider){
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# Drop columns with a percentage of NA values above cols_nan_threshold
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# Drop columns with a percentage of NA values above cols_nan_threshold
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if(nrow(clean_features))
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if(nrow(clean_features))
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clean_features <- clean_features %>% select_if(~ sum(is.na(.)) / length(.) <= cols_nan_threshold )
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clean_features <- clean_features %>% select(where(~ sum(is.na(.)) / length(.) <= cols_nan_threshold ), starts_with("phone_esm"))
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# Drop columns with zero variance
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# Drop columns with zero variance
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if(drop_zero_variance_columns)
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if(drop_zero_variance_columns)
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clean_features <- clean_features %>% select_if(grepl("pid|local_segment|local_segment_label|local_segment_start_datetime|local_segment_end_datetime",names(.)) | sapply(., n_distinct, na.rm = T) > 1)
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clean_features <- clean_features %>% select_if(grepl("pid|local_segment|local_segment_label|local_segment_start_datetime|local_segment_end_datetime|phone_esm",names(.)) | sapply(., n_distinct, na.rm = T) > 1)
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# Drop highly correlated features
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# Drop highly correlated features
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if(as.logical(drop_highly_correlated_features$COMPUTE)){
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if(as.logical(drop_highly_correlated_features$COMPUTE)){
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