Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
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 |
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def | clone |
def | compute |
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def | getResult |
def | setResult |
def | clone |
def | compute |
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def | computeNoThrow |
def | compute |
def | checkComputeParams |
def | checkResult |
def | setupCompute |
def | resetCompute |
def | enableResetOnCompute |
def | hostApp |
def | setHostApp |
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def | checkComputeParams |
def | getBaseParameter |
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def | enableChecks |
def | isChecksEnabled |
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def | checkComputeParams |
def | checkResult |
def | getMethod |
Static Public Attributes | |
input = ... | |
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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
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