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| author | Bobby <[email protected]> | 2022-05-31 18:04:27 +0530 |
|---|---|---|
| committer | GitHub <[email protected]> | 2022-05-31 18:04:27 +0530 |
| commit | 494bbdcc5ca98cfa9d774ccf5714deccfb9e899e (patch) | |
| tree | 7321d05aade6f6f43ba727d6d1a020b46de11bd2 | |
| parent | 2e2f89fead988afd01465bd5704a7617651e54ed (diff) | |
| download | Network-Intrusion-Detection-494bbdcc5ca98cfa9d774ccf5714deccfb9e899e.tar.xz Network-Intrusion-Detection-494bbdcc5ca98cfa9d774ccf5714deccfb9e899e.zip | |
| -rw-r--r-- | models.R | 9 |
1 files changed, 0 insertions, 9 deletions
@@ -129,12 +129,3 @@ summary(nb) nb_model <- h2o.saveModel(object = nb, path = "/Users/lucifer/Documents/projects/NetworkIntrusionDetection/models", force = TRUE) - -# Build and train the XGBoost model: -xgb <- h2o.xgboost(x = predictors, - y = response, - training_frame = train, - validation_frame = test, - booster = "dart", - normalize_type = "tree", - seed = 1234) |
