/**
* <summary>Constructor for the {@link Iteration} class. Get corpus and parameter as input, sets the corresponding
* parameters.</summary>
* <param name="corpus">Corpus used to train word vectors using Word2Vec algorithm.</param>
* <param name="wordToVecParameter">Parameters of the Word2Vec algorithm.</param>
*/
public Iteration(Corpus.Corpus corpus, WordToVecParameter wordToVecParameter)
{
this.corpus = corpus;
this._wordToVecParameter = wordToVecParameter;
_startingAlpha = wordToVecParameter.GetAlpha();
_alpha = wordToVecParameter.GetAlpha();
}
/**
* <summary>Constructor for the {@link NeuralNetwork} class. Gets corpus and network parameters as input and sets the
* corresponding parameters first. After that, initializes the network with random weights between -0.5 and 0.5.
* Constructs vector update matrix and prepares the exp table.</summary>
* <param name="corpus">Corpus used to train word vectors using Word2Vec algorithm.</param>
* <param name="parameter">Parameters of the Word2Vec algorithm.</param>
*/
public NeuralNetwork(Corpus.Corpus corpus, WordToVecParameter parameter)
{
this._vocabulary = new Vocabulary(corpus);
this._parameter = parameter;
this._corpus = corpus;
_wordVectors = new Matrix(_vocabulary.Size(), parameter.GetLayerSize(), -0.5, 0.5, new Random());
_wordVectorUpdate = new Matrix(_vocabulary.Size(), parameter.GetLayerSize());
PrepareExpTable();
}
