/**
* <summary> Converts discrete attributes of a single instance to binary discrete version using 1-of-L encoding. For example, if
* an attribute has values red, green, blue; this attribute will be converted to 3 binary attributes where
* red will have the value true false false, green will have the value false true false, and blue will have the value false false true.</summary>
*
* <param name="instance">The instance to be converted.</param>
*/
protected override void ConvertInstance(Instance.Instance instance)
{
var size = instance.AttributeSize();
for (var i = 0; i < size; i++)
{
if (attributeDistributions[i].Count > 0)
{
var index = attributeDistributions[i].GetIndex(instance.GetAttribute(i).ToString());
for (var j = 0; j < attributeDistributions[i].Count; j++)
{
if (j != index)
{
instance.AddAttribute(new BinaryAttribute(false));
}
else
{
instance.AddAttribute(new BinaryAttribute(true));
}
}
}
}
RemoveDiscreteAttributes(instance, size);
}
/**
* <summary> The convertInstance method takes an {@link Instance} as an input and creates a {@link java.util.Vector} attributes from continuousAttributes.
* After removing all attributes of given instance, it then adds new {@link ContinuousAttribute} by using the dot
* product of attributes Vector and the eigenvectors.</summary>
*
* <param name="instance">Instance that will be converted to {@link ContinuousAttribute} by using eigenvectors.</param>
*/
protected override void ConvertInstance(Instance.Instance instance)
{
var attributes = new Vector(instance.ContinuousAttributes());
instance.RemoveAllAttributes();
foreach (var eigenvector in _eigenvectors)
{
instance.AddAttribute(new ContinuousAttribute(attributes.DotProduct(eigenvector)));
}
}
/**
* <summary> Returns the standard deviation of attributes for instances.</summary>
*
* <returns>Standard deviation of attributes for instances.</returns>
*/
public Instance.Instance StandardDeviation()
{
var result = new Instance.Instance(_list[0].GetClassLabel());
for (var i = 0; i < _list[0].AttributeSize(); i++)
{
result.AddAttribute(AttributeStandardDeviation(i));
}
return(result);
}
/**
* <summary> Constructor for an instance list with a given data definition, data file and a separator character. Each instance
* must be stored in a separate line separated with the character separator. The last item must be the class label.
* The function reads the file line by line and for each line; depending on the data definition, that is, type of
* the attributes, adds discrete and continuous attributes to a new instance. For example, given the data set file
* <p/>
* red;1;0.4;true
* green;-1;0.8;true
* blue;3;1.3;false
* <p/>
* where the first attribute is a discrete attribute, second and third attributes are continuous attributes, the
* fourth item is the class label.</summary>
*
* <param name="definition">Data definition of the data set.</param>
* <param name="separator"> Separator character which separates the attribute values in the data file.</param>
* <param name="fileName"> Name of the data set file.</param>
*/
public InstanceList(DataDefinition definition, string separator, string fileName)
{
_list = new List <Instance.Instance>();
var streamReader = new StreamReader(fileName);
var line = streamReader.ReadLine();
while (line != null)
{
var attributeList = line.Split(separator);
if (attributeList.Length == definition.AttributeCount() + 1)
{
var current = new Instance.Instance(attributeList[attributeList.Length - 1]);
for (var i = 0; i < attributeList.Length - 1; i++)
{
switch (definition.GetAttributeType(i))
{
case AttributeType.DISCRETE:
current.AddAttribute(new DiscreteAttribute(attributeList[i]));
break;
case AttributeType.BINARY:
current.AddAttribute(new BinaryAttribute(bool.Parse(attributeList[i])));
break;
case AttributeType.CONTINUOUS:
current.AddAttribute(new ContinuousAttribute(double.Parse(attributeList[i])));
break;
}
}
_list.Add(current);
}
line = streamReader.ReadLine();
}
}
/**
* <summary> Converts discrete attributes of a single instance to indexed version.</summary>
*
* <param name="instance">The instance to be converted.</param>
*/
protected override void ConvertInstance(Instance.Instance instance)
{
var size = instance.AttributeSize();
for (var i = 0; i < size; i++)
{
if (attributeDistributions[i].Count > 0)
{
var index = attributeDistributions[i].GetIndex(instance.GetAttribute(i).ToString());
instance.AddAttribute(new DiscreteIndexedAttribute(instance.GetAttribute(i).ToString(), index,
attributeDistributions[i].Count));
}
}
RemoveDiscreteAttributes(instance, size);
}
