Anomaly Detection with Deep Learning in R with H2O

The following R script downloads ECG dataset (training and validation) from internet and perform deep learning based anomaly detection on it. library(h2o) h2o.init() # Import ECG train and test data into the H2O cluster train_ecg <- h2o.importFile( path = “http://h2o-public-test-data.s3.amazonaws.com/smalldata/anomaly/ecg_discord_train.csv”, header = FALSE, sep = “,”) test_ecg <- h2o.importFile( path = “http://h2o-public-test-data.s3.amazonaws.com/smalldata/anomaly/ecg_discord_test.csv”, header = FALSE, […]

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