add_sample_class_train_data — Add a training sample to training data.
add_sample_class_train_data adds a training sample to the
training data given by
training sample is given by
Features is the feature vector of the sample, and
consequently must be a real vector of length
ClassID is the
class of the sample. More than one training sample can be added at once.
In this case the parameter
Order defines in which order
the elements of the feature vectors are passed in
If it is set to 'row',
the first training sample comes first, the second comes second, and so on.
If it is set to 'column', the first dimension of all feature vectors
comes first, and then the second dimension of all feature vectors,
and so on. The third possible mode for
'feature_column'. This mode expects features which were grouped
to come completely and row-wise before the second feature, and so on.
This operator modifies the state of the following input parameter:
During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.
ClassTrainDataHandle(input_control, state is modified) class_train_data
Handle of the training data.
The order of the feature vector.
Default value: 'row'
List of values: 'column', 'feature_column', 'row'
Feature vector of the training sample.
Class of the training sample.
If the parameters are valid, the operator
add_sample_class_train_data returns the value TRUE. If necessary,
an exception is raised.