void expectation_prop::setup_parameters() {
alpha = std::vector<double>(numTopics, ALPHA_INIT);
dirichlet dir_beta = dirichlet(numTerms, 1.0);
Pword = dir_beta.sample(numTopics);
beta = std::vector<std::vector<std::vector<double>>>(numDocs);
for(int d=0; d<numDocs; ++d){
beta[d] = std::vector<std::vector<double>>(corpus.docs[d].uniqueCount, std::vector<double>(numTopics, 0));
}
gamma = std::vector<std::vector<double>>(numDocs, std::vector<double>(numTopics, ALPHA_INIT));
}
float dirichletPhrase(uint32_t tf, uint32_t docLen, long defaultCf,
long collectionLength, float MU)
{
return dirichlet(tf, docLen, defaultCf, collectionLength, MU);
}
void set_vector_function_expression(const std::string& variable_name, ParsedFunctionExpression& func)
{
FieldVariable<0, VectorField> var(variable_name, m_solution_tag);
func.set_expression( nodes_expression( dirichlet(var) = func.vector_function() ) );
}
dirichlet var_bayes::setup_alpha() {
return dirichlet(numTopics, 1.0/numTopics);
}
