Python* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1
Trains model of the Gradient Boosted Trees algorithms in the batch processing mode. More...
Public Member Functions | |
def | __init__ |
def | parameter |
def | getInput |
def | getMethod |
def | getResult |
def | resetResult |
def | clone |
def | checkComputeParams |
def | compute |
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def | getInput |
def | setResult |
def | getResult |
def | resetResult |
def | clone |
def | compute |
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def | computeNoThrow |
def | compute |
def | checkComputeParams |
def | checkResult |
def | setupCompute |
def | resetCompute |
def | enableResetOnCompute |
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def | checkComputeParams |
def | getBaseParameter |
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def | enableChecks |
def | isChecksEnabled |
def | getErrors |
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def | checkComputeParams |
def | checkResult |
def | getMethod |
def | getErrors |
Static Public Attributes | |
input = ... | |
fptype | Data type to use in intermediate computations for Gradient Boosted Trees, double or float |
method | Gradient Boosted Trees computation method, daal.algorithms.gbt.classification.training.Method |
def __init__ | ( | self, | |
args | |||
) |
Constructs the Gradient Boosted Trees training algorithm
nClasses | Number of classes |
Constructs a Gradient Boosted Trees training algorithm by copying input objects and parameters of another Gradient Boosted Trees training algorithm
other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
def checkComputeParams | ( | self | ) |
checkComputeParams(Batch self) -> Status
def clone | ( | self | ) |
Returns a pointer to the newly allocated Gradient Boosted Trees training algorithm with a copy of input objects and parameters of this Gradient Boosted Trees training algorithm
def compute | ( | self | ) |
Invokes computations
def getInput | ( | self | ) |
Get input objects for the Gradient Boosted Trees training algorithm
def getMethod | ( | self | ) |
Returns the method of the algorithm
def getResult | ( | self | ) |
Returns the structure that contains results of Gradient Boosted Trees training
def parameter | ( | self, | |
args | |||
) |
Gets parameter of the algorithm
Gets parameter of the algorithm
def resetResult | ( | self | ) |
Resets the training results of the classification algorithm
|
static |
Input data structure
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