/// <exception cref="System.IO.IOException"/>
/// <exception cref="System.TypeLoadException"/>
private static void DemonstrateSerializationColumnDataClassifier()
{
System.Console.Out.WriteLine();
System.Console.Out.WriteLine("Demonstrating working with a serialized classifier using serializeTo");
ColumnDataClassifier cdc = new ColumnDataClassifier(where + "examples/cheese2007.prop");
cdc.TrainClassifier(where + "examples/cheeseDisease.train");
// Exhibit serialization and deserialization working. Serialized to bytes in memory for simplicity
System.Console.Out.WriteLine();
ByteArrayOutputStream baos = new ByteArrayOutputStream();
ObjectOutputStream oos = new ObjectOutputStream(baos);
cdc.SerializeClassifier(oos);
oos.Close();
byte[] @object = baos.ToByteArray();
ByteArrayInputStream bais = new ByteArrayInputStream(@object);
ObjectInputStream ois = new ObjectInputStream(bais);
ColumnDataClassifier cdc2 = ColumnDataClassifier.GetClassifier(ois);
ois.Close();
// We compare the output of the deserialized classifier cdc2 versus the original one cl
// For both we use a ColumnDataClassifier to convert text lines to examples
System.Console.Out.WriteLine("Making predictions with both classifiers");
foreach (string line in ObjectBank.GetLineIterator(where + "examples/cheeseDisease.test", "utf-8"))
{
IDatum <string, string> d = cdc.MakeDatumFromLine(line);
IDatum <string, string> d2 = cdc2.MakeDatumFromLine(line);
System.Console.Out.Printf("%s =origi=> %s (%.4f)%n", line, cdc.ClassOf(d), cdc.ScoresOf(d).GetCount(cdc.ClassOf(d)));
System.Console.Out.Printf("%s =deser=> %s (%.4f)%n", line, cdc2.ClassOf(d2), cdc2.ScoresOf(d).GetCount(cdc2.ClassOf(d)));
}
}
/// <exception cref="System.Exception"/>
public static void Main(string[] args)
{
if (args.Length > 0)
{
where = args[0] + File.separator;
}
System.Console.Out.WriteLine("Training ColumnDataClassifier");
ColumnDataClassifier cdc = new ColumnDataClassifier(where + "examples/cheese2007.prop");
cdc.TrainClassifier(where + "examples/cheeseDisease.train");
System.Console.Out.WriteLine();
System.Console.Out.WriteLine("Testing predictions of ColumnDataClassifier");
foreach (string line in ObjectBank.GetLineIterator(where + "examples/cheeseDisease.test", "utf-8"))
{
// instead of the method in the line below, if you have the individual elements
// already you can use cdc.makeDatumFromStrings(String[])
IDatum <string, string> d = cdc.MakeDatumFromLine(line);
System.Console.Out.Printf("%s ==> %s (%.4f)%n", line, cdc.ClassOf(d), cdc.ScoresOf(d).GetCount(cdc.ClassOf(d)));
}
System.Console.Out.WriteLine();
System.Console.Out.WriteLine("Testing accuracy of ColumnDataClassifier");
Pair <double, double> performance = cdc.TestClassifier(where + "examples/cheeseDisease.test");
System.Console.Out.Printf("Accuracy: %.3f; macro-F1: %.3f%n", performance.First(), performance.Second());
DemonstrateSerialization();
DemonstrateSerializationColumnDataClassifier();
}
public ColumnDataClassifierAnnotator(Properties props)
{
// todo [cdm 2016]: Should really set from properties in propFile
cdcClassifier = new ColumnDataClassifier(props);
verbose = PropertiesUtils.GetBool(props, "classify.verbose", false);
}
public ColumnDataClassifierAnnotator(string propFile, bool verbose)
{
cdcClassifier = new ColumnDataClassifier(propFile);
this.verbose = verbose;
}
public ColumnDataClassifierAnnotator(string propFile)
{
cdcClassifier = new ColumnDataClassifier(propFile);
verbose = false;
}
