.. ****************************************************************************** .. * Copyright 2020-2021 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 .. * .. * http://www.apache.org/licenses/LICENSE-2.0 .. * .. * Unless required by applicable law or agreed to in writing, software .. * 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 .. * limitations under the License. .. *******************************************************************************/ 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.