Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Computes the Mean squared error objective function in the batch processing mode. More...
Public Member Functions | |
| def | __init__ |
| def | parameter |
| def | getMethod |
| def | clone |
| def | allocate |
| def | compute |
Public Member Functions inherited from Batch | |
| def | clone |
| def | compute |
Public Member Functions inherited from Batch | |
| def | getResult |
| def | setResult |
| def | clone |
| def | compute |
Public Member Functions inherited from AlgorithmImpl | |
| def | computeNoThrow |
| def | compute |
| def | checkComputeParams |
| def | checkResult |
| def | setupCompute |
| def | resetCompute |
| def | enableResetOnCompute |
| def | hostApp |
| def | setHostApp |
Public Member Functions inherited from Algorithm | |
| def | checkComputeParams |
| def | getBaseParameter |
Public Member Functions inherited from AlgorithmIfaceImpl | |
| def | enableChecks |
| def | isChecksEnabled |
Public Member Functions inherited from AlgorithmIface | |
| def | checkComputeParams |
| def | checkResult |
| def | getMethod |
Static Public Attributes | |
| input = ... | |
Static Public Attributes inherited from Batch | |
| sumOfFunctionsParameter = ... | |
| sumOfFunctionsInput = ... | |
| fptype | Data type to use in intermediate computations for the Mean squared error objective function, double or float |
| method | The Mean squared error objective function computation method |
| def __init__ | ( | self, | |
| args | |||
| ) |
Main constructor
Constructs an the Mean squared error objective function algorithm by copying input objects and parameters of another the Mean squared error objective function algorithm
| other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
| def allocate | ( | self | ) |
Allocates memory buffers needed for the computations
| def clone | ( | self | ) |
Returns a pointer to the newly allocated the Mean squared error objective function algorithm with a copy of input objects of this the Mean squared error objective function algorithm
| def compute | ( | self | ) |
Invokes computations
| def getMethod | ( | self | ) |
Returns the method of the algorithm
| def parameter | ( | self, | |
| args | |||
| ) |
Gets parameter of the algorithm
Gets parameter of the algorithm
|
static |
Input data structure
For more complete information about compiler optimizations, see our Optimization Notice.