.. ****************************************************************************** .. * 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 .. * .. * 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. .. *******************************************************************************/ Bernoulli Distribution ====================== Generates Bernoulli distributed random numbers. Details ******* Bernoulli random number generator fills the :math:`n \times p` numeric table with Bernoulli distributed values with the :math:`p` probability of success on a single trial, where :math:`p \in R`, :math:`0 \leq p \leq 1`. A variate is called Bernoulli distributed if after a trial it is equal to :math:`1` with the probability of success :math:`p` and to :math:`0` with the probability :math:`1 - p`. The probability distribution is given by: .. math:: p\{x = 1\} = p .. math:: p\{x = 0\} = 1 - p The cumulative distribution function is as follows: .. math:: F_p(x) = \begin{cases} 0, & x < 0 \\ 1 - p, & 0 \leq x < 1, x \in \mathbb{R} \\ 1, & x \geq 1 \end{cases} Batch Processing **************** .. rubric:: Algorithm Parameters Bernoulli distribution algorithm has the following parameters in addition to the common parameters specified in :ref:`distributions`: .. tabularcolumns:: |\Y{0.15}|\Y{0.15}|\Y{0.7}| .. list-table:: Algorithm Parameters for Bernoulli Distribution (Batch Processing) :header-rows: 1 :widths: 10 10 60 :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. * - ``p`` - Not applicable - Success probability of a trial, required parameter. Examples ******** .. tabs:: .. tab:: Python* Batch Processing: - :daal4py_example:`distributions_bernoulli.py` Performance Considerations ************************** To get the best overall performance when using the Bernoulli distribution random number generator, provide the 32-bit signed integer homogeneous numeric table constructed with enabled equal features. .. include:: ../../../opt-notice.rst