Developer Guide for Intel® Data Analytics Acceleration Library 2019
The cross entropy loss 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 Algorithms.
Input ID |
Input |
---|---|
argument |
Numeric table of size ( p + 1) x nClasses with the input argument θ of the objective function. |
data |
Numeric table of size n x p with the data x ij . This parameter can be an object of any class derived from NumericTable. |
dependentVariables |
Numeric table of size n x 1 with dependent variables yi. This parameter can be an object of any class derived from NumericTable, except for PackedTriangularMatrix , PackedSymmetricMatrix , and CSRNumericTable. |
The cross entropy loss algorithm has the following parameters. Some of them are required only for specific values of the computation method parameter method:
For the output of the cross entropy loss algorithm, see Output for objective functions.