get_sample_class_train_dataT_get_sample_class_train_dataGetSampleClassTrainDataGetSampleClassTrainDataget_sample_class_train_data (Operator)
Name
get_sample_class_train_dataT_get_sample_class_train_dataGetSampleClassTrainDataGetSampleClassTrainDataget_sample_class_train_data — Return a training sample from training data.
Signature
Description
get_sample_class_train_dataget_sample_class_train_dataGetSampleClassTrainDataGetSampleClassTrainDataGetSampleClassTrainDataget_sample_class_train_data reads a training sample from the
training data given by ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle that was
added, e.g., with add_sample_class_train_dataadd_sample_class_train_dataAddSampleClassTrainDataAddSampleClassTrainDataAddSampleClassTrainDataadd_sample_class_train_data.
The index of the sample is
specified with IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample. The index is counted from 0.
That means that IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample must be a number between 0 and
NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples - 1, where NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples can be
determined with get_sample_num_class_train_dataget_sample_num_class_train_dataGetSampleNumClassTrainDataGetSampleNumClassTrainDataGetSampleNumClassTrainDataget_sample_num_class_train_data. The training
sample is returned in FeaturesFeaturesFeaturesFeaturesfeaturesfeatures and ClassIDClassIDClassIDClassIDclassIDclass_id.
FeaturesFeaturesFeaturesFeaturesfeaturesfeatures is a feature vector of length NumDimNumDimNumDimNumDimnumDimnum_dim
(see create_class_train_datacreate_class_train_dataCreateClassTrainDataCreateClassTrainDataCreateClassTrainDatacreate_class_train_data) and ClassIDClassIDClassIDClassIDclassIDclass_id is
the class of the feature vector.
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
ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (input_control) class_train_data → HClassTrainData, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of training data for a classifier.
IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample (input_control) integer → HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Number of stored training sample.
FeaturesFeaturesFeaturesFeaturesfeaturesfeatures (output_control) real-array → HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)
Feature vector of the training sample.
ClassIDClassIDClassIDClassIDclassIDclass_id (output_control) integer → HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Class of the training sample.
Result
If the parameters are valid, the operator
get_sample_class_mlpget_sample_class_mlpGetSampleClassMlpGetSampleClassMlpGetSampleClassMlpget_sample_class_mlp returns the value TRUE. If necessary,
an exception is raised.
Possible Predecessors
add_sample_class_train_dataadd_sample_class_train_dataAddSampleClassTrainDataAddSampleClassTrainDataAddSampleClassTrainDataadd_sample_class_train_data
See also
create_class_train_datacreate_class_train_dataCreateClassTrainDataCreateClassTrainDataCreateClassTrainDatacreate_class_train_data
Module
Foundation