serialize_class_knnT_serialize_class_knnSerializeClassKnnSerializeClassKnnserialize_class_knn (Operator)

Name

serialize_class_knnT_serialize_class_knnSerializeClassKnnSerializeClassKnnserialize_class_knn — Serialize a k-NN classifier.

Signature

serialize_class_knn( : : KNNHandle : SerializedItemHandle)

Description

serialize_class_knnserialize_class_knnSerializeClassKnnSerializeClassKnnSerializeClassKnnserialize_class_knn serializes a k-NN classifier (k-NN) and its stored training samples (see fwrite_serialized_itemfwrite_serialized_itemFwriteSerializedItemFwriteSerializedItemFwriteSerializedItemfwrite_serialized_item for an introduction of the basic principle of serialization). The same data that is written in a file by write_class_knnwrite_class_knnWriteClassKnnWriteClassKnnWriteClassKnnwrite_class_knn is converted to a serialized item. The k-NN classifier is defined by the handle KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle. The serialized k-NN classifier is returned by the handle SerializedItemHandleSerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle and can be deserialized by deserialize_class_knndeserialize_class_knnDeserializeClassKnnDeserializeClassKnnDeserializeClassKnndeserialize_class_knn.

Execution Information

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.

Parameters

KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle (input_control) class_knn → (handle)

Handle of the k-NN classifier.

SerializedItemHandleSerializedItemHandleSerializedItemHandleSerializedItemHandleserializedItemHandleserialized_item_handle (output_control) serialized_item → (handle)

Handle of the serialized item.

Result

If the parameters are valid, the operator serialize_class_knnserialize_class_knnSerializeClassKnnSerializeClassKnnSerializeClassKnnserialize_class_knn returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

Possible Predecessors

train_class_knntrain_class_knnTrainClassKnnTrainClassKnnTrainClassKnntrain_class_knn, read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnnread_class_knn

Possible Successors

fwrite_serialized_itemfwrite_serialized_itemFwriteSerializedItemFwriteSerializedItemFwriteSerializedItemfwrite_serialized_item, send_serialized_itemsend_serialized_itemSendSerializedItemSendSerializedItemSendSerializedItemsend_serialized_item, deserialize_class_knndeserialize_class_knnDeserializeClassKnnDeserializeClassKnnDeserializeClassKnndeserialize_class_knn

References

Marius Muja, David G. Lowe: “Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration”; International Conference on Computer Vision Theory and Applications (VISAPP 09); 2009.

Module

Foundation

Operators