Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Abstract class that specifies interface of the algorithms for computing correlation or variance-covariance matrix in the batch processing mode. More...
Public Member Functions | |
def | getResult |
def | getParameter |
def | parameter |
def | setResult |
def | clone |
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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 |
def clone | ( | self | ) |
Returns a pointer to the newly allocated algorithm for correlation or variance-covariance matrix computation with a copy of input objects and parameters of this algorithm for correlation or variance-covariance matrix computation
def getParameter | ( | self | ) |
Returns the pointer to parameter
def getResult | ( | self | ) |
Returns the structure that contains correlation or variance-covariance matrix
def parameter | ( | self, | |
args | |||
) |
Returns the pointer to parameter
Returns the pointer to parameter
def setResult | ( | self, | |
result | |||
) |
Registers user-allocated memory to store results of computation of the correlation or variance-covariance matrix
result | Structure to store the results |
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