Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 1
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.
NoteSizes of argument, gradient, and hessian numeric tables do not depend on intercept flag. In case when intercept flag is set to false, computation of θ0 value will be skipped, but sizes of tables should remain the same. |
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.