Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Provides methods for the regression model-based training in the batch processing mode. More...
Public Member Functions | |
def | getInput |
def | setResult |
def | resetResult |
def | clone |
def | getResult |
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 |
def clone | ( | self | ) |
Returns a pointer to the newly allocated regression training algorithm with a copy of input objects and parameters of this regression training algorithm
def compute | ( | self | ) |
Invokes computations
def getInput | ( | self | ) |
Get input objects for the regression model-based training algorithm
def getResult | ( | self | ) |
Returns the structure that contains the result of the regression model-based training
def resetResult | ( | self | ) |
resetResult(Batch self) -> Status
def setResult | ( | self, | |
res | |||
) |
Registers user-allocated memory to store the result of the regression model-based training
res | Structure to store the result of the regression model-based training |
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