Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Provides methods to access final results obtained with the compute() method of the BrownBoost training algorithm in the batch processing mode. More...
Public Member Functions | |
def | serializationTag |
def | getSerializationTag |
def | get |
def | check |
def | __init__ |
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def | serializationTag |
def | getSerializationTag |
def | __init__ |
def | get |
def | set |
def | check |
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def | __init__ |
def | getSerializationTag |
def | check |
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def | serialize |
def | deserialize |
def | getSerializationTag |
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def | __init__ |
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def | __init__ |
def | __lshift__ |
def | size |
def __init__ | ( | self | ) |
__init__(daal.algorithms.brownboost.training.Result self) -> interface2_Result
def check | ( | self, | |
input, | |||
parameter, | |||
method | |||
) |
check(interface2_Result self, Input input, Parameter parameter, int method) -> Status
def get | ( | self, | |
id | |||
) |
Returns the model trained with the BrownBoost algorithm
id | Identifier of the result, classifier.training.ResultId |
def getSerializationTag | ( | self | ) |
getSerializationTag(interface2_Result self) -> int
def serializationTag | ( | ) |
serializationTag() -> int
For more complete information about compiler optimizations, see our Optimization Notice.