def generate_ap(k, p_data, index):
ap_data = []
for i, fd in enumerate(p_data):
ap_data.append([k[i][TYPE_COL]] + fd)
calculate_ap(ap_data, index)
def generate_ap(k, p_data, index):
ap_data = []
for i, fd in enumerate(p_data):
ap_data.append([k[i][TYPE_COL]] + fd)
calculate_ap(ap_data, index)
def generate_ap(index_name, data_to_predict, final_pred):
pre_data_for_ap = []
for i, dtp in enumerate(data_to_predict):
pre_data_for_ap.append([dtp[HIST_PRED_L_COL]] + final_pred[i])
return calculate_ap(pre_data_for_ap, index_name)