Provides methods to run implementations of the KD-tree based kNN model-based prediction.
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- Parameters
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fptype | Data type to use in intermediate computations for KD-tree based kNN model-based prediction in the batch processing mode, double or float |
method | Computation method in the batch processing mode, Method |
- Enumerations
- Method Computation methods for KD-tree based kNN model-based prediction
- References
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- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.kdtree_knn_classification.prediction.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.kdtree_knn_classification.prediction.defaultDense)
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- Variant 1
- Default constructor
- Variant 2
Constructs a KD-tree based kNN prediction algorithm by copying input objects and parameters of another KD-tree based kNN prediction algorithm
- Parameters
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other | Algorithm to use as the source to initialize the input objects and parameters of the algorithm |
Returns a pointer to the newly allocated KD-tree based kNN prediction algorithm with a copy of input objects of this KD-tree based kNN prediction algorithm
- Returns
- Pointer to the newly allocated algorithm
Get input objects for the KD-tree based kNN prediction algorithm
- Returns
- Input objects for the KD-tree based kNN prediction algorithm
Returns the method of the algorithm
- Returns
- Method of the algorithm
The documentation for this class was generated from the following file:
- kdtree_knn_classification/prediction.py