public virtual void ExtractFeatures(IFloatingPointFeatureExtractor<object> featureExtractor)
{
if (Item != null)
{
FeatureVector = featureExtractor.ExtractVector(Item).Select(v => (double)v).ToArray();
}
}
//public IEnumerable<string[]> Trigrams
//{
// get
// {
// foreach (var term in _index.Terms)
// {
// var following = _markovChain.GetFrequencies(term);
// foreach (var prior in _markovChain.GetPriorFrequencies(term))
// {
// }
// }
// }
//}
private Matrix Analyse(IEnumerable<TokenisedTextDocument> samples)
{
foreach (var sample in samples) Append(sample);
_featureExtractor = _index.CreateVectorExtractor(_vectorSize, false);
return new Matrix(samples.Select(s => _featureExtractor.ExtractColumnVector(s.Tokens)));
}