Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Provides methods to access the result obtained with the compute() method of Decision tree model-based training. More...
Public Member Functions | |
def | serializationTag |
def | getSerializationTag |
def | __init__ |
def | get |
def | allocate_{Float64|Float32} |
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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.decision_tree.regression.training.Result self) -> Result
def allocate_{Float64|Float32} | ( | self, | |
input, | |||
parameter, | |||
method | |||
) |
Allocates memory to store the result of Decision tree model-based training
input | Pointer to an object containing the input data |
parameter | Parameter of Decision tree model-based training |
method | Computation method for the algorithm |
allocate_Float64
is for float64
allocate_Float32
is for float32
def get | ( | self, | |
id | |||
) |
Returns the result of Decision tree model-based training
id | Identifier of the result |
def getSerializationTag | ( | self | ) |
getSerializationTag(Result self) -> int
def serializationTag | ( | ) |
serializationTag() -> int
For more complete information about compiler optimizations, see our Optimization Notice.