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.. * Copyright 2020 Intel Corporation
.. *
.. * 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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Batch Processing
================

Input
*****

Initialization of item factors for the implicit ALS algorithm accepts the input described below.
Pass the ``Input ID`` as a parameter to the methods that provide input for your algorithm.
For more details, see :ref:`algorithms`.

.. tabularcolumns::  |\Y{0.2}|\Y{0.8}|

.. list-table:: Input for Implicit Alternating Least Squares Initialization (Batch Processing)
   :widths: 10 60
   :header-rows: 1
   :align: left

   * - Input ID
     - Input
   * - ``data``
     - Pointer to the :math:`m \times n` numeric table with the mining data.

       The input can be an object of any class derived from ``NumericTable`` except
       ``PackedTriangularMatrix`` and ``PackedSymmetricMatrix``.

Parameters
**********

Initialization of item factors for the implicit ALS algorithm has the following parameters:

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

.. list-table:: Parameters for Implicit Alternating Least Squares Initialization (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``
     - Available computation methods:

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

   * - ``nFactors``
     - :math:`10`
     - The total number of factors.
   * - ``engine``
     - `SharePtr< engines:: mt19937:: Batch>()`
     - Pointer to the random number generator engine that is used internally at the initialization step.

Output
******

Initialization of item factors for the implicit ALS algorithm calculates the result described below.
Pass the ``Result ID`` as a parameter to the methods that access the results of your algorithm.
For more details, see :ref:`algorithms`.

.. tabularcolumns::  |\Y{0.2}|\Y{0.8}|

.. list-table:: Output for Implicit Alternating Least Squares Initialization (Batch Processing)
   :widths: 10 60
   :header-rows: 1
   :align: left

   * - Result ID
     - Result
   * - ``model``
     - The model with initialized item factors. The result can only be an object of the ``Model`` class.