H2O Naive Bayes Learner

Learns a Naïve Bayes classification model using H2O .

Options

Target Column: Select target column. The column must contain nominal values.
Column selection: Select columns used for model training.
Ignore constant columns: Select to ignore constant columns.
Default probability: Specify the minimum probability to use for observations without enough data (min_prob) .

Laplace smoothing parameter: Specify the Laplace smoothing parameter. The value must be an integer >= 0 (laplace) .
Minimum standard deviation: Specify the minimum standard deviation to use for observations without enough data. The value must be at least 1e-10 (min_sdev) .
Threshold standard deviation: Specify the threshold for standard deviation. The value must be positive. If this threshold is not met, the minimum standard deviation value is used (eps_sdev) .
Threshold probability: Specify the threshold value for probability. If this threshold is not met, then the minimum probability value is used (eps_prob) .

Max runtime in seconds: Maximum allowed runtime in seconds for model training (max_runtime_secs) .
Use static random seed: Select to use static seed for randomization.

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To use this node in KNIME, install the extension KNIME H2O Machine Learning Integration from the below update site following our NodePit Product and Node Installation Guide:

v5.2

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.2.0.v202310301555

On NodePit since: 2023-12-06

Last update: 2024-04-18

KNIME versions: Since v3.6

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