void CExactInferenceMethod::update_all()
{
if (m_labels)
m_label_vector =
((CRegressionLabels*) m_labels)->get_labels().clone();
if (m_features && m_features->has_property(FP_DOT) && m_features->get_num_vectors())
m_feature_matrix =
((CDotFeatures*)m_features)->get_computed_dot_feature_matrix();
else if (m_features && m_features->get_feature_class() == C_COMBINED)
{
CDotFeatures* feat =
(CDotFeatures*)((CCombinedFeatures*)m_features)->
get_first_feature_obj();
if (feat->get_num_vectors())
m_feature_matrix = feat->get_computed_dot_feature_matrix();
SG_UNREF(feat);
}
update_data_means();
if (m_kernel)
update_train_kernel();
if (m_ktrtr.num_cols*m_ktrtr.num_rows)
{
update_chol();
update_alpha();
}
}
void CInferenceMethod::set_latent_features(CFeatures* feat)
{
SG_REF(feat);
SG_UNREF(m_latent_features);
m_latent_features=feat;
if (m_latent_features && m_latent_features->has_property(FP_DOT) && m_latent_features->get_num_vectors())
m_latent_matrix =
((CDotFeatures*)m_latent_features)->get_computed_dot_feature_matrix();
else if (m_latent_features && m_latent_features->get_feature_class() == C_COMBINED)
{
CDotFeatures* subfeat =
(CDotFeatures*)((CCombinedFeatures*)m_latent_features)->
get_first_feature_obj();
if (m_latent_features->get_num_vectors())
m_latent_matrix = subfeat->get_computed_dot_feature_matrix();
SG_UNREF(subfeat);
}
update_data_means();
update_train_kernel();
update_chol();
update_alpha();
}