Machine learning

Isolation forest

Vertica now supports the isolation forest (iForest) algorithm. iForest is an unsupervised outlier detection algorithm that you can use for applications such as fraud detection and system health monitoring, or for removing outliers from your data. You can use the IFOREST function to train an iForest model and the APPLY_IFOREST function to apply the model to an input relation.

For an extended discussion on the iForest algorithm, see Isolation Forest.

Option to build LINEAR_REG and LOGISTIC_REG models without calculating intercept

You now have the option of training linear and logistic regression models without calculating an intercept. See LINEAR_REG and LOGISTIC_REG for details.