NAIVE_BAYES
Executes the Naive Bayes algorithm on an input relation and returns a Naive Bayes model.
Columns are treated according to data type:

FLOAT: Values are assumed to follow some Gaussian distribution.

INTEGER: Values are assumed to belong to one multinomial distribution.

CHAR/VARCHAR: Values are assumed to follow some categorical distribution. The string values stored in these columns must not be greater than 128 characters.

BOOLEAN: Values are treated as categorical with two values.
This is a metafunction. You must call metafunctions in a toplevel SELECT statement.
Behavior type
VolatileSyntax
NAIVE_BAYES ( 'modelname', 'inputrelation', 'responsecolumn', 'predictorcolumns'
[ USING PARAMETERS [exclude_columns = 'excludedcolumns'] [, alpha = alphavalue] ] )
Arguments
modelname
 Identifies the model to create, where
modelname
conforms to conventions described in Identifiers. It must also be unique among all names of sequences, tables, projections, views, and models within the same schema. inputrelation
 The table or view that contains the training data for building the model. If the input relation is defined in Hive, use
SYNC_WITH_HCATALOG_SCHEMA
to sync thehcatalog
schema, and then run the machine learning function. responsecolumn
 Name of the input column that represents the dependent variable, or outcome. This column must contain discrete labels that represent different class labels.
The response column must be of type numeric, CHAR/VARCHAR, or BOOLEAN; otherwise the model is invalid.
Note
Vertica automatically casts numeric response column values to VARCHAR. predictorcolumns
Commaseparated list of columns in the input relation that represent independent variables for the model, or asterisk (*) to select all columns. If you select all columns, the argument list for parameter
exclude_columns
must includeresponsecolumn
, and any columns that are invalid as predictor columns.All predictor columns must be of type numeric, CHAR/VARCHAR, or BOOLEAN; otherwise the model is invalid. BOOLEAN column values are converted to FLOAT values before training: 0 for false, 1 for true.
Parameters
exclude_columns
 Commaseparated list of columns from
predictorcolumns
to exclude from processing. alpha
 Float, specifies use of Laplace smoothing if the event model is categorical, multinomial, or Bernoulli.
Default: 1.0
Model attributes
colsInfo
 The information from the response and predictor columns used in training:

index: The index (starting at 0) of the column as provided in training. Index 0 is used for the response column.

name: The column name.

type: The label used for response with a value of Gaussian, Multinominal, Categorical, or Bernoulli.

alpha
 The smooth parameter value.
prior
 The percentage of each class among all training samples:

label: The class label.

value: The percentage of each class.

nRowsTotal
 The number of samples accepted for training from the data set.
nRowsRejected
 The number of samples rejected for training.
callStr
 The SQL statement used to replicate the training.
Gaussian
 The Gaussian model conditioned on the class indicated by the class_name:

index: The index of the predictor column.

mu: The mean value of the model.

sigmaSq: The squared standard deviation of the model.

Multinominal
 The Multinomial model conditioned on the class indicated by the class_name:

index: The index of the predictor column.

prob: The probability conditioned on the class indicated by the class_name.

Bernoulli
 The Bernoulli model conditioned on the class indicated by the class_name:

index: The index of the predictor column.

probTrue: The probability of having the value TRUE in this predictor column.

Categorical
 The Gaussian model conditioned on the class indicated by the class_name:

category: The value in the predictor name.

<class_name>: The probability of having that value conditioned on the class indicated by the class_name.

Privileges
Superuser, or SELECT privileges on the input relation.
Examples
=> SELECT NAIVE_BAYES('naive_house84_model', 'house84_train', 'party', '*'
USING PARAMETERS exclude_columns='party, id');
NAIVE_BAYES

Finished. Accepted Rows: 324 Rejected Rows: 0
(1 row)