Provides methods for KD-tree based kNN model-based training in the batch processing mode.
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- Deprecated:
- This item will be removed in a future release.
- Parameters
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fptype | Data type to use in intermediate computations for KD-tree based kNN model-based training, double or float |
method | KD-tree based kNN training method, Method |
- Enumerations
- Method Computation methods
- References
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- Aliases
Batch_Float64DefaultDense
is an alias of Batch(fptype=float64, method=daal.algorithms.kdtree_knn_classification.training.defaultDense)
Batch_Float32DefaultDense
is an alias of Batch(fptype=float32, method=daal.algorithms.kdtree_knn_classification.training.defaultDense)
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- Variant 1
- Default constructor
- Variant 2
Constructs a KD-tree based kNN training algorithm by copying input objects and parameters of another KD-tree based kNN training algorithm in the batch processing mode
- 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 a newly allocated KD-tree based kNN training algorithm with a copy of the input objects and parameters for this KD-tree based kNN training algorithm in the batch processing mode
- Returns
- Pointer to the newly allocated algorithm
Get input objects for KD-tree based kNN model-based training algorithm
- Returns
- Input objects for KD-tree based kNN model-based training algorithm
Returns the method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains the result of KD-tree based kNN model-based training
- Returns
- Structure that contains the result of KD-tree based kNN model-based training
Resets the results of KD-tree based kNN model training algorithm
Input objects of the algorithm
The documentation for this class was generated from the following file:
- kdtree_knn_classification/training.py