/// <summary>
/// Runs the module.
/// </summary>
/// <param name="args">The command line arguments for the module.</param>
/// <param name="usagePrefix">The prefix to print before the usage string.</param>
/// <returns>True if the run was successful, false otherwise.</returns>
public override bool Run(string[] args, string usagePrefix)
{
string testSetFile = string.Empty;
string modelFile = string.Empty;
string predictionsFile = string.Empty;
var parser = new CommandLineParser();
parser.RegisterParameterHandler("--test-set", "FILE", "File with test data", v => testSetFile = v, CommandLineParameterType.Required);
parser.RegisterParameterHandler("--model", "FILE", "File with a trained multi-class Bayes point machine model", v => modelFile = v, CommandLineParameterType.Required);
parser.RegisterParameterHandler("--predictions", "FILE", "File to store predictions for the test data", v => predictionsFile = v, CommandLineParameterType.Required);
if (!parser.TryParse(args, usagePrefix))
{
return(false);
}
var testSet = ClassifierPersistenceUtils.LoadLabeledFeatureValues(testSetFile);
BayesPointMachineClassifierModuleUtilities.WriteDataSetInfo(testSet);
var classifier =
BayesPointMachineClassifier.LoadMulticlassClassifier <IList <LabeledFeatureValues>, LabeledFeatureValues, IList <LabelDistribution>, string, IDictionary <string, double> >(modelFile);
// Predict labels
var predictions = classifier.PredictDistribution(testSet);
// Write labels to file
ClassifierPersistenceUtils.SaveLabelDistributions(predictionsFile, predictions);
return(true);
}
/// <summary>
/// Runs the module.
/// </summary>
/// <param name="args">The command line arguments for the module.</param>
/// <param name="usagePrefix">The prefix to print before the usage string.</param>
/// <returns>True if the run was successful, false otherwise.</returns>
public override bool Run(string[] args, string usagePrefix)
{
string modelFile = string.Empty;
string samplesFile = string.Empty;
var parser = new CommandLineParser();
parser.RegisterParameterHandler("--model", "FILE", "File with a trained multi-class Bayes point machine model", v => modelFile = v, CommandLineParameterType.Required);
parser.RegisterParameterHandler("--samples", "FILE", "File to store samples of the weights", v => samplesFile = v, CommandLineParameterType.Required);
if (!parser.TryParse(args, usagePrefix))
{
return(false);
}
var classifier =
BayesPointMachineClassifier.LoadMulticlassClassifier <IList <LabeledFeatureValues>, LabeledFeatureValues, IList <LabelDistribution>, string, IDictionary <string, double> >(modelFile);
BayesPointMachineClassifierModuleUtilities.SampleWeights(classifier, samplesFile);
return(true);
}
/// <summary>
/// Runs the module.
/// </summary>
/// <param name="args">The command line arguments for the module.</param>
/// <param name="usagePrefix">The prefix to print before the usage string.</param>
/// <returns>True if the run was successful, false otherwise.</returns>
public override bool Run(string[] args, string usagePrefix)
{
string trainingSetFile = string.Empty;
string inputModelFile = string.Empty;
string outputModelFile = string.Empty;
int iterationCount = BayesPointMachineClassifierTrainingSettings.IterationCountDefault;
int batchCount = BayesPointMachineClassifierTrainingSettings.BatchCountDefault;
var parser = new CommandLineParser();
parser.RegisterParameterHandler("--training-set", "FILE", "File with training data", v => trainingSetFile = v, CommandLineParameterType.Required);
parser.RegisterParameterHandler("--input-model", "FILE", "File with the trained multi-class Bayes point machine model", v => inputModelFile = v, CommandLineParameterType.Required);
parser.RegisterParameterHandler("--model", "FILE", "File to store the incrementally trained multi-class Bayes point machine model", v => outputModelFile = v, CommandLineParameterType.Required);
parser.RegisterParameterHandler("--iterations", "NUM", "Number of training algorithm iterations (defaults to " + iterationCount + ")", v => iterationCount = v, CommandLineParameterType.Optional);
parser.RegisterParameterHandler("--batches", "NUM", "Number of batches to split the training data into (defaults to " + batchCount + ")", v => batchCount = v, CommandLineParameterType.Optional);
if (!parser.TryParse(args, usagePrefix))
{
return(false);
}
var trainingSet = ClassifierPersistenceUtils.LoadLabeledFeatureValues(trainingSetFile);
BayesPointMachineClassifierModuleUtilities.WriteDataSetInfo(trainingSet);
var classifier = BayesPointMachineClassifier.LoadMulticlassClassifier <IList <LabeledFeatureValues>, LabeledFeatureValues, IList <LabelDistribution>, string, IDictionary <string, double> >(inputModelFile);
classifier.Settings.Training.IterationCount = iterationCount;
classifier.Settings.Training.BatchCount = batchCount;
classifier.TrainIncremental(trainingSet);
classifier.Save(outputModelFile);
return(true);
}