Base class for models trained with the KD-tree based kNN algorithm
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static services::SharedPtr< Model > | create (size_t nFeatures=0, services::Status *stat=NULL) |
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- Template Parameters
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modelFPType | Data type to store KD-tree based kNN model data, double or float |
- References
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Model |
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size_t |
nFeatures = 0 | ) |
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Constructs the model trained with the KD-tree based kNN algorithm
- Parameters
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[in] | nFeatures | Number of features in the dataset |
- Deprecated:
- This item will be removed in a future release. Use Model::create instead.
static services::SharedPtr<Model> create |
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size_t |
nFeatures = 0 , |
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services::Status * |
stat = NULL |
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) |
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static |
Constructs the model trained with the boosting algorithm
- Parameters
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[in] | nFeatures | Number of features in the dataset |
[out] | stat | Status of the model construction |
size_t getNumberOfFeatures |
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const |
Retrieves the number of features in the dataset was used on the training stage
- Returns
- Number of features in the dataset was used on the training stage
const ModelImpl* impl |
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const |
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inline |
Returns actual model implementation
- Returns
- Model implementation
Returns actual model implementation
- Returns
- Model implementation
The documentation for this class was generated from the following file: