private static void RunExample2()
{
string text = "Vår kund erbjuder trivsel";
List <LabeledExample> labeledExamples = CreateLabeledExamples();
ITextClassifier textClassifier = new TextClassifier();
TextClassifierResult result = textClassifier.PredictLabel(text, labeledExamples);
Console.WriteLine(result.Label);
}
private static void RunExample1()
{
string text = "We are looking for several skilled and driven developers to join our team.";
List <LabeledExample> labeledExamples = CreateLabeledExamples();
ITextClassifier textClassifier = new TextClassifier();
TextClassifierResult result = textClassifier.PredictLabel(text, labeledExamples);
Console.WriteLine(result.Label);
}
public void ToString_ShouldReturnTheExpectedString_WhenInvoked
(TextClassifierResult textClassifierResult, string expected)
{
// Arrange
// Act
string actual = textClassifierResult.ToString();
// Assert
Assert.IsTrue(
string.Equals(
expected,
actual,
StringComparison.InvariantCulture));
}
public void TextClassifierResult_ShouldCreateAnInstanceOfThisType_WhenProperArgument()
{
// Arrange
// Act
TextClassifierResult actual
= new TextClassifierResult(
ObjectMother.TextClassifierResult_Label1,
ObjectMother.TextClassifierResult_SimilarityIndexes1,
ObjectMother.TextClassifierResult_SimilarityIndexAverages1
);
// Assert
Assert.IsInstanceOf <TextClassifierResult>(actual);
}
// Methods
public TextClassifierResult PredictLabel
(string text, ITokenizationStrategy strategy, INGramTokenizerRuleSet ruleSet, List <LabeledExample> labeledExamples)
{
Validator.ValidateStringNullOrWhiteSpace(text, nameof(text));
Validator.ValidateObject(strategy, nameof(strategy));
Validator.ValidateObject(ruleSet, nameof(ruleSet));
Validator.ValidateList(labeledExamples, nameof(labeledExamples));
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_AttemptingToPredictLabel);
string truncatedText = _components.TextTruncatingFunction.Invoke(text, _settings.TruncateTextInLogMessagesAfter);
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_FollowingTextHasBeenProvided.Invoke(truncatedText));
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_FollowingTokenizationStrategyWillBeUsed.Invoke(strategy));
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_FollowingNGramsTokenizerRuleSetWillBeUsed.Invoke(ruleSet));
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_XLabeledExamplesHaveBeenProvided.Invoke(labeledExamples));
List <INGram> nGrams = _components.NGramsTokenizer.Do(text, strategy, ruleSet);
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_ProvidedTextHasBeenTokenizedIntoXNGrams.Invoke(nGrams));
List <SimilarityIndex> indexes = GetSimilarityIndexes(nGrams, labeledExamples);
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_TokenizedTextHasBeenComparedAgainstTheProvidedLabeledExamples);
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_XSimilarityIndexObjectsHaveBeenComputed.Invoke(indexes));
List <SimilarityIndexAverage> indexAverages = GetSimilarityIndexAverages(indexes);
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_XSimilarityIndexAverageObjectsHaveBeenComputed(indexAverages));
string label = PredictLabel(indexAverages);
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_PredictedLabelIs.Invoke(label));
if (label == null)
{
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_PredictionHasFailedTryIncreasingTheAmountOfProvidedLabeledExamples);
}
else
{
_components.LoggingAction.Invoke(MessageCollection.TextClassifier_PredictionHasBeenSuccessful);
}
TextClassifierResult result = new TextClassifierResult(label, indexes, indexAverages);
return(result);
}
public void PredictLabel_ShouldReturnANullLabelAndLogTheExpectedMessages_WhenContainsAllIndexAverageValuesEqualToZero()
{
// Arrange
List <string> actualLogMessages = new List <string>();
Action <string> fakeLoggingAction
= (message) => actualLogMessages.Add(message);
TextClassifierComponents components
= new TextClassifierComponents(
new NGramTokenizer(),
new SimilarityIndexCalculatorJaccard(),
TextClassifierComponents.DefaultRoundingFunction,
TextClassifierComponents.DefaultTextTruncatingFunction,
fakeLoggingAction);
TextClassifier textClassifier = new TextClassifier(components, new TextClassifierSettings());
string truncatedText
= TextClassifierComponents.DefaultTextTruncatingFunction.Invoke(
ObjectMother.TextClassifier_Text3,
TextClassifierSettings.DefaultTruncateTextInLogMessagesAfter);
List <string> expectedLogMessages = new List <string>()
{
MessageCollection.TextClassifier_AttemptingToPredictLabel,
MessageCollection.TextClassifier_FollowingTextHasBeenProvided.Invoke(truncatedText),
MessageCollection.TextClassifier_FollowingTokenizationStrategyWillBeUsed.Invoke(new TokenizationStrategy()),
MessageCollection.TextClassifier_FollowingNGramsTokenizerRuleSetWillBeUsed.Invoke(new NGramTokenizerRuleSet()),
MessageCollection.TextClassifier_XLabeledExamplesHaveBeenProvided.Invoke(ObjectMother.TextClassifier_LabeledExamples),
MessageCollection.TextClassifier_ProvidedTextHasBeenTokenizedIntoXNGrams.Invoke(ObjectMother.TextClassifier_Text3_NGrams),
MessageCollection.TextClassifier_ComparingProvidedTextAgainstFollowingLabeledExample.Invoke(ObjectMother.TextClassifier_LabeledExamples[0]),
MessageCollection.TextClassifier_CalculatedSimilarityIndexValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexes[0].Value),
MessageCollection.TextClassifier_RoundedSimilarityIndexValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexes[0].Value),
MessageCollection.TextClassifier_FollowingSimilarityIndexObjectHasBeenAddedToTheList.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexes[0]),
MessageCollection.TextClassifier_ComparingProvidedTextAgainstFollowingLabeledExample.Invoke(ObjectMother.TextClassifier_LabeledExamples[1]),
MessageCollection.TextClassifier_CalculatedSimilarityIndexValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexes[1].Value),
MessageCollection.TextClassifier_RoundedSimilarityIndexValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexes[1].Value),
MessageCollection.TextClassifier_FollowingSimilarityIndexObjectHasBeenAddedToTheList.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexes[1]),
MessageCollection.TextClassifier_TokenizedTextHasBeenComparedAgainstTheProvidedLabeledExamples,
MessageCollection.TextClassifier_XSimilarityIndexObjectsHaveBeenComputed.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexes),
MessageCollection.TextClassifier_FollowingUniqueLabelsHaveBeenFound.Invoke(ObjectMother.TextClassifier_Text3_UniqueLabels),
MessageCollection.TextClassifier_CalculatingIndexAverageForTheFollowingLabel.Invoke(ObjectMother.TextClassifier_Text3_UniqueLabels[0]),
MessageCollection.TextClassifier_CalculatedSimilarityIndexAverageValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexAverages[0].Value),
MessageCollection.TextClassifier_RoundedSimilarityIndexAverageValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexAverages[0].Value),
MessageCollection.TextClassifier_FollowingSimilarityIndexAverageObjectHasBeenAddedToTheList.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexAverages[0]),
MessageCollection.TextClassifier_CalculatingIndexAverageForTheFollowingLabel.Invoke(ObjectMother.TextClassifier_Text3_UniqueLabels[1]),
MessageCollection.TextClassifier_CalculatedSimilarityIndexAverageValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexAverages[1].Value),
MessageCollection.TextClassifier_RoundedSimilarityIndexAverageValueIs.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexAverages[1].Value),
MessageCollection.TextClassifier_FollowingSimilarityIndexAverageObjectHasBeenAddedToTheList.Invoke(ObjectMother.TextClassifier_Text3_SimilarityIndexAverages[1]),
MessageCollection.TextClassifier_XSimilarityIndexAverageObjectsHaveBeenComputed(ObjectMother.TextClassifier_Text3_SimilarityIndexAverages),
MessageCollection.TextClassifier_FollowingVerificationHasFailed.Invoke("ContainsAtLeastOneIndexAverageThatIsNotZero"),
MessageCollection.TextClassifier_PredictedLabelIs.Invoke(ObjectMother.TextClassifier_Text3_Label),
MessageCollection.TextClassifier_PredictionHasFailedTryIncreasingTheAmountOfProvidedLabeledExamples
};
// Act
TextClassifierResult actual
= textClassifier.PredictLabel(
ObjectMother.TextClassifier_Text3,
ObjectMother.TextClassifier_LabeledExamples);
// Assert
Assert.IsTrue(
ObjectMother.AreEqual(
ObjectMother.TextClassifier_Text3_TextClassifierResult,
actual
));
Assert.AreEqual(expectedLogMessages, actualLogMessages);
}