//Naive bayes records: all the possible values of each attribute are in separate records. 1 means this value was present, 0 means it wasnt
public override List <Record> CreateRecords(IEnumerable <string> lines)
{
var returnData = new List <Record>();
foreach (var line in lines)
{
var attributeValues = line.Split(',');
var classificationLabel = attributeValues[attributeValues.Length - 1];
Record newRecord = new Record(classificationLabel);
foreach (var attributeIndex in AttributePicker.GetPickedAttributeIndices())
{
var currentAttributeValue = attributeValues[attributeIndex];
var allPossibleValuesForThisAttribute = Parser.NumericalAttributeValues[attributeIndex].Keys.ToList();
foreach (var possibleValue in allPossibleValuesForThisAttribute)
{
//We insert a record for each possible value, containing whether or not this row has that value. We do this for each attribute.
var oneOrZero = currentAttributeValue.Equals(possibleValue) ? 1 : 0;
newRecord.Attributes.Add(attributeIndex + ": " + possibleValue, oneOrZero);
}
}
returnData.Add(newRecord);
}
return(returnData);
}
public override List <Record> CreateRecords(IEnumerable <string> lines)
{
var returnData = new List <Record>();
foreach (var line in lines)
{
var attributeValues = line.Split(',');
var classificationLabel = attributeValues[attributeValues.Length - 1];
Record newRecord = new Record(classificationLabel);
foreach (var attributeIndex in AttributePicker.GetPickedAttributeIndices())
{
var currentAttributeValue = attributeValues[attributeIndex];
var numericalValue = Parser.NumericalAttributeValues[attributeIndex][currentAttributeValue];
newRecord.Attributes.Add(attributeIndex.ToString(), numericalValue);
}
returnData.Add(newRecord);
}
return(returnData);
}
