/// <summary>
/// Writes this Range transform to a stream.
/// </summary>
/// <param name="stream">The stream to write to</param>
/// <param name="r">The range to write</param>
public static void Write(Stream stream, RangeTransform r)
{
var savedCulture = Thread.CurrentThread.CurrentCulture;
Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
StreamWriter output = new StreamWriter(stream);
output.WriteLine(r._length);
output.Write(r._inputStart[0].ToString("r"));
for (int i = 1; i < r._inputStart.Length; i++)
{
output.Write(" " + r._inputStart[i].ToString("r"));
}
output.WriteLine();
output.Write(r._inputScale[0].ToString("r"));
for (int i = 1; i < r._inputScale.Length; i++)
{
output.Write(" " + r._inputScale[i].ToString("r"));
}
output.WriteLine();
output.WriteLine("{0} {1}", r._outputStart.ToString("r"), r._outputScale.ToString("r"));
output.Flush();
Thread.CurrentThread.CurrentCulture = savedCulture;
}
/// <summary>
/// Writes this Range transform to a file. This will overwrite any previous data in the file.
/// </summary>
/// <param name="outputFile">The file to write to</param>
/// <param name="r">The Range to write</param>
public static void Write(string outputFile, RangeTransform r)
{
FileStream s = File.Open(outputFile, FileMode.Create);
try {
Write(s, r);
}
finally {
s.Close();
}
}
private SupportVectorMachineModel(SupportVectorMachineModel original, Cloner cloner)
: base(original, cloner) {
// only using a shallow copy here! (gkronber)
this.model = original.model;
this.rangeTransform = original.rangeTransform;
this.allowedInputVariables = (string[])original.allowedInputVariables.Clone();
if (original.classValues != null)
this.classValues = (double[])original.classValues.Clone();
}
public SupportVectorMachineModel(svm_model model, RangeTransform rangeTransform, string targetVariable, IEnumerable<string> allowedInputVariables)
: base(targetVariable) {
this.name = ItemName;
this.description = ItemDescription;
this.model = model;
this.rangeTransform = rangeTransform;
this.allowedInputVariables = allowedInputVariables.ToArray();
}
public SupportVectorMachineModel(svm_model model, RangeTransform rangeTransform, string targetVariable, IEnumerable<string> allowedInputVariables, IEnumerable<double> classValues)
: this(model, rangeTransform, targetVariable, allowedInputVariables) {
this.classValues = classValues.ToArray();
}
/// <summary>
/// Writes this Range transform to a file. This will overwrite any previous data in the file.
/// </summary>
/// <param name="outputFile">The file to write to</param>
/// <param name="r">The Range to write</param>
public static void Write(string outputFile, RangeTransform r) {
FileStream s = File.Open(outputFile, FileMode.Create);
try {
Write(s, r);
}
finally {
s.Close();
}
}
/// <summary>
/// Writes this Range transform to a stream.
/// </summary>
/// <param name="stream">The stream to write to</param>
/// <param name="r">The range to write</param>
public static void Write(Stream stream, RangeTransform r) {
var savedCulture = Thread.CurrentThread.CurrentCulture;
Thread.CurrentThread.CurrentCulture = CultureInfo.InvariantCulture;
StreamWriter output = new StreamWriter(stream);
output.WriteLine(r._length);
output.Write(r._inputStart[0].ToString("r"));
for (int i = 1; i < r._inputStart.Length; i++)
output.Write(" " + r._inputStart[i].ToString("r"));
output.WriteLine();
output.Write(r._inputScale[0].ToString("r"));
for (int i = 1; i < r._inputScale.Length; i++)
output.Write(" " + r._inputScale[i].ToString("r"));
output.WriteLine();
output.WriteLine("{0} {1}", r._outputStart.ToString("r"), r._outputScale.ToString("r"));
output.Flush();
Thread.CurrentThread.CurrentCulture = savedCulture;
}