Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 1
The mean squared error 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 1 with the input argument θ of the objective function. |
|
data |
Numeric table of size n x p with the data xij. |
|
dependentVariables |
Numeric table of size n x 1 with dependent variables yi. |
The mean squared error 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 mean squared error algorithm, see Output for objective functions.