Python* API Reference for Intel® Data Analytics Acceleration Library 2019
Provides methods to access the result obtained with the compute() method of KD-tree based kNN model-based training. More...
Public Member Functions | |
| def | serializationTag |
| def | getSerializationTag |
| def | __init__ |
| def | get |
| def | allocate_{Float64|Float32} |
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.kdtree_knn_classification.training.Result self) -> Result
| def allocate_{Float64|Float32} | ( | self, | |
| input, | |||
| parameter, | |||
| method | |||
| ) |
Allocates memory to store the result of KD-tree based kNN model-based training
| input | Pointer to an object containing the input data |
| parameter | Parameter of KD-tree based kNN model-based training |
| method | Computation method for the algorithm |
allocate_Float64 is for float64allocate_Float32 is for float32 | def get | ( | self, | |
| id | |||
| ) |
Returns the result of KD-tree based kNN 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.