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taiar/znorm-twitter.R

Created August 30, 2020 15:02
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znorm-twitter.R
# mean_train_features <- colMeans(data_training[, 1:8])
# sd_train_features <- apply(data_training[, 1:8], 2, sd)
# mean_train_features
# sd_train_features
# data_training[, 1:8] <- sweep(data_training[, 1:8], 2, mean_train_features, "-")
# data_training[, 1:8] <- sweep(data_training[, 1:8], 2, sd_train_features, "/")
# data_validation[, 1:8] <- sweep(data_validation[, 1:8], 2, mean_train_features, "-")
# data_validation[, 1:8] <- sweep(data_validation[, 1:8], 2, sd_train_features, "/")
# summary(data_training)
# summary(data_validation)
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