def selectAttibutesGA():
matrix = csv.readCsvRaw(csv.headered_name_pca_corr)
num_attributes = len(matrix[0])-1
if False:
num_subset = 5
num_trials = max(100, num_attributes*2)
results = findBestOfSize(matrix, num_subset, num_trials)
order = orderByResults(results,num_attributes)
if True:
sort_order = [i for i in range(num_attributes)]
for num_subset in range(5, num_attributes, 5):
num_trials = max(100, num_attributes*2)
csv_matrix_name = csv.makeCsvPath('subset.matrix' +('%03d'%num_subset))
csv_results_name = csv.makePath('subset.results'+('%03d'%num_subset))
csv_best_name = csv.makeCsvPath('subset.best' +('%03d'%num_subset))
csv_summary_name = csv.makeCsvPath('subset.summary'+('%03d'%num_subset))
ordered_matrix = pca.reorderMatrix(matrix, sort_order)
csv.writeCsv(csv_matrix_name, ordered_matrix)
results = findBestOfSize(ordered_matrix, num_subset, num_trials, csv_summary_name)
sort_order = orderByResults(results,num_attributes)
#c_x = results[0].columns + [-1] # include outcome
#sub_matrix = [[row[i] for i in c_x] for row in ordered_matrix]
#csv.writeCsv(csv_best_name,sub_matrix, )
if not is_testing:
shutil.copyfile(results[0]['csv'],csv_best_name)
shutil.copyfile(results[0]['results'],csv_results_name)
def reorder(in_cells): return pca.reorderMatrix(in_cells, sort_order)
