Python* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
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 | allocate_{Float64|Float32} |
| def | __init__ |
Public Member Functions inherited from Result | |
| def | serializationTag |
| def | getSerializationTag |
| def | __init__ |
| def | get |
| def | set |
| def | check |
Public Member Functions inherited from Result | |
| def | __init__ |
| def | getSerializationTag |
| def | check |
Public Member Functions inherited from SerializationIface | |
| def | serialize |
| def | deserialize |
| def | getSerializationTag |
Public Member Functions inherited from Base | |
| def | __init__ |
Public Member Functions inherited from Argument | |
| def | __init__ |
| def | __lshift__ |
| def | size |
| def __init__ | ( | self | ) |
__init__(daal.algorithms.brownboost.training.Result self) -> Result
| def allocate_{Float64|Float32} | ( | self, | |
| input, | |||
| parameter, | |||
| method | |||
| ) |
Allocates memory to store final results of BrownBoost training
| input | Input of the BrownBoost training algorithm |
| parameter | Parameters of the algorithm |
| method | BrownBoost computation method |
allocate_Float64 is for float64allocate_Float32 is for float32 | def check | ( | self, | |
| input, | |||
| parameter, | |||
| method | |||
| ) |
check(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(Result self) -> int
| def serializationTag | ( | ) |
serializationTag() -> int
For more complete information about compiler optimizations, see our Optimization Notice.