H2O Isolation Forest Learner

Learns an Isolation Forest model using H2O . The model is learned unsupervised and can be used to detect anomalies or outliers by using the H2O Isolation Forest Predictor node.

Options

General Settings

Column selection

Select columns used for model training.

Ignore constant columns

Select to ignore constant columns.

Number of levels (tree depth)

Specify the maximum tree depth (max_depth) .

Number of models

Specify the number of trees (ntrees) .

Use static random seed

Select to use a static seed for randomization.

Algorithm Settings

Min (weighted) observations

Specify the minimum number of observations for a leaf (min_rows) .

Row sample rate (per tree)

Specify the row sampling rate (x-axis). The range is 0.0 to 1.0. Higher values may improve training accuracy. Test accuracy improves when either columns or rows are sampled. For details, refer to “Stochastic Gradient Boosting” (sample_rate) .

Row sample size (per tree)

Specify the number of randomly sampled rows used to train each tree. Higher values may improve training accuracy. Test accuracy improves when either columns or rows are sampled. For details, refer to “Stochastic Gradient Boosting” (sample_size) .

Column sample rate (per tree)

Specify the column sample rate per tree. This can be a value from 0.0 to 1.0 (col_sample_rate_per_tree) .

Relative change of column sample rate per level

This option specifies to change the column sampling rate as a function of the depth in the tree (col_sample_rate_change_per_level) .

M Tries

Specify the columns to randomly select at each level. If disabled, the number of variables is p/3 (where p is the number of included feature columns). The range is 1 to number of included feature columns. (mtries) .

Advanced Settings

Select categorical encoding

Specify one of the following encoding schemes for handling categorical features (categorical_encoding) .

Max runtime in seconds

Maximum allowed runtime in seconds for model training (max_runtime_secs) .

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Workflows

• 01_Anomaly_Detection_DemoKNIME Hub
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