Namespace NOpenNLP.Tools.Util.Eval
Classes
- CrossValidationPartitioner<E>
Provides access to training and test partitions for n-fold cross validation.
Cross validation is used to evaluate the performance of a classifier when only training data is available. The training set is split into n parts and the training / evaluation is performed n times on these parts. The training partition always consists of n -1 parts and one part is used for testing.
To use the CrossValidationPartitioner<E> a client iterates over the n CrossValidationPartitioner<E>.TrainingSampleStreams. Each CrossValidationPartitioner<E>.TrainingSampleStream represents one partition and is used first for training and afterwards for testing. The
TestSampleStreamcan be obtained from the CrossValidationPartitioner<E>.TrainingSampleStream with the GetTestSampleStream() method.
- CrossValidationPartitioner<E>.TrainingSampleStream
The CrossValidationPartitioner<E>.TrainingSampleStream which iterates over all training elements.
Note: After the test sample stream was obtained the CrossValidationPartitioner<E>.TrainingSampleStream must not be used anymore, otherwise an InvalidOperationException is thrown.
The IObjectStream<T>s must not be used anymore after the CrossValidationPartitioner<E> was moved to one of next partitions. If they are called anyway an InvalidOperationException is thrown.
- Evaluator<T>
The Evaluator<T> is an abstract base class for evaluators.
Evaluation results are the arithmetic mean of the scores calculated for each reference sample.
- FMeasure
The FMeasure is an utility class for evaluators which measure precision, recall and the resulting f-measure.
Evaluation results are the arithmetic mean of the precision scores calculated for each reference sample and the arithmetic mean of the recall scores calculated for each reference sample.
- Mean
Calculates the arithmetic mean of values added with the Add(double) method.