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.. * Copyright 2020 Intel Corporation
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.. * Licensed under the Apache License, Version 2.0 (the "License");
.. * you may not use this file except in compliance with the License.
.. * You may obtain a copy of the License at
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.. *     http://www.apache.org/licenses/LICENSE-2.0
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.. * distributed under the License is distributed on an "AS IS" BASIS,
.. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
.. * See the License for the specific language governing permissions and
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.. *******************************************************************************/

Batch Processing
****************

Naïve Bayes classifier in the batch processing mode follows the general workflow described
in :ref:`classification_usage_model`.

Training
--------

At the training stage, Naïve Bayes classifier has the following parameters:

.. tabularcolumns::  |\Y{0.15}|\Y{0.15}|\Y{0.7}|

.. list-table:: Training Parameters for Naïve Bayes Classifier (Batch Processing)
   :widths: 10 10 60
   :header-rows: 1
   :align: left
   :class: longtable

   * - Parameter
     - Default Value
     - Description
   * - ``algorithmFPType``
     - ``float``
     - The floating-point type that the algorithm uses for intermediate computations. Can be ``float`` or ``double``.
   * - ``method``
     - ``defaultDense``
     - Available computation methods for the Naïve Bayes classifier:

       - ``defaultDense`` - default performance-oriented method
       - ``fastCSR`` - performance-oriented method for CSR numeric tables

   * - ``nClasses``
     - Not applicable
     - The number of classes. A required parameter.
   * - ``priorClassEstimates``
     - :math:`1/\text{nClasses}`
     - Vector of size ``nClasses`` that contains prior class estimates. The default value applies to each vector element.
   * - ``alpha``
     - :math:`1`
     - Vector of size :math:`p` that contains the imagined occurrences of features. The default value applies to each vector element.


Prediction
----------

At the prediction stage, Naïve Bayes classifier has the following parameters:

.. tabularcolumns::  |\Y{0.2}|\Y{0.2}|\Y{0.6}|

.. list-table:: Prediction Parameters for Naïve Bayes Classifier (Batch Processing)
   :widths: 10 20 30
   :header-rows: 1
   :align: left
   :class: longtable

   * - Parameter
     - Default Value
     - Description
   * - ``algorithmFPType``
     - ``float``
     - The floating-point type that the algorithm uses for intermediate computations. Can be ``float`` or ``double``.
   * - ``method``
     - ``defaultDense``
     - Performance-oriented computation method, the only method supported by the algorithm.
   * - ``nClasses``
     - Not applicable
     - The number of classes. A required parameter.