double State::transition_row_partition_assignments(const MatrixD& data,
vector<int> which_rows) {
vector<int> global_column_indices = create_sequence(data.size2());
double score_delta = 0;
//
int num_rows = which_rows.size();
if (num_rows == 0) {
num_rows = data.size1();
which_rows = create_sequence(num_rows);
//FIXME: use own shuffle so seed control is in effect
std::random_shuffle(which_rows.begin(), which_rows.end());
}
set<View*>::iterator svp_it;
for (svp_it = views.begin(); svp_it != views.end(); svp_it++) {
// for each view
View& v = **svp_it;
vector<int> view_cols = get_indices_to_reorder(global_column_indices,
v.global_to_local);
const MatrixD data_subset = extract_columns(data, view_cols);
map<int, vector<double> > row_data_map = construct_data_map(data_subset);
vector<int>::iterator vi_it;
for (vi_it = which_rows.begin(); vi_it != which_rows.end(); vi_it++) {
// for each SPECIFIED row
int row_idx = *vi_it;
vector<double> vd = row_data_map[row_idx];
score_delta += v.transition_z(vd, row_idx);
}
}
data_score += score_delta;
return score_delta;
}
map<int, vector<double> > construct_data_map(const MatrixD data) {
unsigned int num_rows = data.size1();
map<int, vector<double> > data_map;
for(unsigned int row_idx=0; row_idx<num_rows; row_idx++) {
data_map[row_idx] = extract_row(data, row_idx);
}
return data_map;
}
MatrixD extract_columns(const MatrixD fromM, vector<int> from_cols) {
int num_rows = fromM.size1();
int num_cols = from_cols.size();
MatrixD toM(num_rows, num_cols);
for(int to_col=0; to_col<num_cols; to_col++) {
int from_col = from_cols[to_col];
copy_column(fromM, from_col, toM, to_col);
}
return toM;
}
void State::construct_base_hyper_grids(const MatrixD& data, int N_GRID,
vector<double> ROW_CRP_ALPHA_GRID,
vector<double> COLUMN_CRP_ALPHA_GRID) {
int num_rows = data.size1();
int num_cols = data.size2();
if (ROW_CRP_ALPHA_GRID.size() == 0) {
ROW_CRP_ALPHA_GRID = create_crp_alpha_grid(num_rows, N_GRID);
}
if (COLUMN_CRP_ALPHA_GRID.size() == 0) {
COLUMN_CRP_ALPHA_GRID = create_crp_alpha_grid(num_cols, N_GRID);
}
row_crp_alpha_grid = ROW_CRP_ALPHA_GRID;
column_crp_alpha_grid = COLUMN_CRP_ALPHA_GRID;
construct_cyclic_base_hyper_grids(N_GRID, num_rows, vm_b_grid);
construct_continuous_base_hyper_grids(N_GRID, num_rows, r_grid, nu_grid);
construct_multinomial_base_hyper_grids(N_GRID, num_rows,
multinomial_alpha_grid);
}
void copy_column(const MatrixD fromM, int from_col, MatrixD &toM, int to_col) {
assert(fromM.size1()==toM.size1());
int num_rows = fromM.size1();
project(toM, boost::numeric::ublas::range(0, num_rows), boost::numeric::ublas::range(to_col, to_col+1)) = \
project(fromM, boost::numeric::ublas::range(0, num_rows), boost::numeric::ublas::range(from_col, from_col+1));
}
