Learns a Naïve Bayes classification model using H2O .

- 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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v4.5

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