protected override string instanceToLibsvm(weka.core.Instance inst)
{
//StringBuffer.__<clinit>();
//StringBuffer buffer = new StringBuffer(new StringBuilder().append("").append(inst.classValue()).toString());
StringBuffer buffer = new StringBuffer(new StringBuilder().append("").append(inst.classValue() - 1).toString());
for (int i = 0; i < inst.numAttributes(); i++)
{
if ((i != inst.classIndex()) && (inst.value(i) != 0f))
{
buffer.append(new StringBuilder().append(" ").append((int)(i + 1)).append(":").append(inst.value(i)).toString());
}
}
return buffer.toString();
}
public override double classifyInstance(weka.core.Instance instance)
{
if (m_instances.numInstances() == 0)
return 2;
if (m_instances.numAttributes() != instance.numAttributes())
{
throw new AssertException("different attribute.");
}
int n = (instance.numAttributes() - 1) / 2;
List<Tuple<int, int>> dist = new List<Tuple<int, int>>();
for (int i = 0; i < m_instances.numInstances(); ++i)
{
int d1 = 0, d2 = 0;
weka.core.Instance instanceI = m_instances.instance(i);
for (int j = 0; j < n; ++j)
{
//d += (int)((instanceI.value(j) - instance.value(j)) * (instanceI.value(j) - instance.value(j)));
if (instanceI.value(j) != instance.value(j))
{
if (instance.value(j) == 2 || instanceI.value(j) == 2)
d1++;
else
d1 += 4;
}
}
for (int j = n; j < 2*n; ++j)
{
//d += (int)((instanceI.value(j) - instance.value(j)) * (instanceI.value(j) - instance.value(j)));
if (instanceI.value(j) != instance.value(j))
if (instance.value(j) == 2 || instanceI.value(j) == 2)
d2++;
else
d2 += 4;
}
int c = (int)instanceI.classValue();
//if (c == 0)
//{
// if (d1 < n / 4 && d1 < d2)
// {
// dist.Add(new Tuple<int, int>(d1, c));
// }
//}
//else if (c == 1)
//{
// if (d2 < n / 4 && d2 < d1)
// {
// dist.Add(new Tuple<int, int>(d2, c));
// }
//}
//else
//{
// throw new AssertException("");
//}
dist.Add(new Tuple<int, int>(d1 + d2, c));
}
if (dist.Count == 0)
return 2;
dist.Sort(new Comparison<Tuple<int, int>>((x, y) =>
{
return x.Item1.CompareTo(y.Item1);
}));
int sum = 0, count = 0;
for (int i = 0; i < dist.Count; ++i)
{
if (dist[i].Item1 < n / 4 * 2 * 4)
{
if (dist[i].Item2 != 2 && dist[i].Item2 != 3)
{
sum += dist[i].Item2;
count++;
}
else
{
}
}
else
break;
}
if (count == 0)
return 2;
if (count < m_instances.numInstances() / 30)
return 2;
return (int)Math.Round((double)sum / count);
}
public override double classifyInstance(weka.core.Instance instance)
{
if (m_instances.numInstances() == 0)
return 2;
if (m_instances.numAttributes() != instance.numAttributes())
{
throw new AssertException("different attribute.");
}
int n = instance.numAttributes();
List<Tuple<int, int>> dist = new List<Tuple<int, int>>();
for (int i = 0; i < m_instances.numInstances(); ++i)
{
int d1 = 0, d2 = 0;
weka.core.Instance instanceI = m_instances.instance(i);
for (int j = 0; j < n; ++j)
{
//d += (int)((instanceI.value(j) - instance.value(j)) * (instanceI.value(j) - instance.value(j)));
if (instanceI.value(j) != instance.value(j))
{
d1++;
}
if (instance.value(j) != 0)
{
d2++;
}
}
int c = (int)instanceI.classValue();
dist.Add(new Tuple<int, int>(d1, c));
}
if (dist.Count == 0)
return 2;
dist.Sort(new Comparison<Tuple<int, int>>((x, y) =>
{
return x.Item1.CompareTo(y.Item1);
}));
int sum = 0, count = 0;
for (int i = 0; i < dist.Count; ++i)
{
if (dist[i].Item1 < 4)
{
sum += dist[i].Item2;
count++;
}
else
break;
}
if (count == 0)
return 2;
if (count < m_instances.numInstances() / 70)
return 2;
return (int)Math.Round((double)sum / count);
}
public weka.core.Instance GenerateFeatures(PokerHand hand, int rIdx, int aIdx, weka.core.Instances data, bool generateClass = true)
{
// Check that we are using limit betting.
Debug.Assert(hand.Context.BettingType == BettingType.FixedLimit);
var results = new weka.core.Instance(data.numAttributes());
results.setDataset(data);
int attIdx = 0;
foreach (var method in typeof(LimitFeatureGenerator).GetMethods())
{
// Get all the features of this class.
var attributes = method.GetCustomAttributes(typeof(Feature), true);
if (attributes.Length == 0)
continue;
// Get the feature attribute on this method.
var attr = ((Feature)attributes[0]);
// Get the name for this attribute
string name = attr.Name;
//Console.WriteLine("Hand: {0} Feature: {1}", hand.Context.ID, name);
// Get the feature only if it's applicable to this situation.
object feature = null;
if(rIdx >= (int)attr.MinRound && rIdx <= (int)attr.MaxRound)
feature = method.Invoke(this, new object[] { hand, rIdx, aIdx });
if (SkipMissingFeatures && (feature == null || feature.ToString() == "?"))
continue;
switch (attr.FType) {
case FeatureType.Continuous:
results.setValue(attIdx, (double)feature);
break;
case FeatureType.Discrete:
results.setValue(attIdx, (int)feature);
break;
case FeatureType.Boolean:
case FeatureType.Nominal:
case FeatureType.Enum:
{
var attribute = data.attribute(attIdx);
var attVal = attribute.indexOfValue(feature.ToString());
if(attVal < 0 || attVal > attribute.numValues())
throw new Exception(string.Format ("Invalid attribute value: {0} for attribute {1} (idx: {2} total values: {3}", feature.ToString(), name, attVal, attribute.numValues()));
results.setValue(attribute, attVal);
}
break;
case FeatureType.String:
{
var attribute = data.attribute(attIdx);
results.setValue(attribute, feature.ToString());
}
break;
default: throw new Exception("Unspecified feature type for feature: " + method.Name);
}
attIdx++;
}
if(generateClass)
{
var classAttr = data.classAttribute();
switch (hand.Rounds[rIdx].Actions[aIdx].Type)
{
case ActionType.Bet:
case ActionType.Raise: results.setClassValue(classAttr.indexOfValue("Raise"));
break;
case ActionType.Call:
case ActionType.Check: results.setClassValue(classAttr.indexOfValue("Call"));
break;
case ActionType.Fold: results.setClassValue(classAttr.indexOfValue("Fold"));;
break;
default:
break;
}
}
return results;
}
private static void writeFile(weka.core.Instances features, string filename)
{
if(FILE_FORMAT == "csv")
{
using (TextWriter writer = new StreamWriter(filename))
{
if(features.numInstances() == 0)
return;
for(int i = 0; i < features.numAttributes(); i++)
{
writer.Write(features.attribute(i));
if(i < features.numAttributes() - 1)
writer.Write(DELIMITER);
}
writer.WriteLine();
for(int i = 0; i < features.numInstances(); i++)
{
for(int j = 0; j < features.numAttributes(); j++)
{
writer.Write(features.instance(i).value(j));
if(j < features.numAttributes() - 1)
writer.Write(DELIMITER);
}
writer.WriteLine();
}
}
} else if (FILE_FORMAT == "arff")
{
using (TextWriter writer = new StreamWriter(filename))
{
writer.WriteLine(features.toString());
}
}
}