def store_map(new_to_map):
fp_dataset_algo=open("mapping_dataset_algo","r")
previously_mapped=pickle.load(fp_dataset_algo)
fp_dataset_algo.close()
algo_index=train_with_all.choose_best(new_to_map)
best_chosen_new=algorithms_m[algo_index]
temp=[]
temp.append(new_to_map)
temp.append(best_chosen_new)
previously_mapped.append(temp)
# Opening the same for updating purpose
fp_dataset_algo_for_update=open("mapping_dataset_algo","w+")
fp_dataset_algo_for_update.seek(0)
pickle.dump(previously_mapped,fp_dataset_algo_for_update)
fp_dataset_algo_for_update.close()
def store_map_main():
fp_sm=open("trained_databases","r")
trained_dbs=pickle.load(fp_sm)
print trained_dbs
for i in range(len(trained_dbs)):
algo_index=train_with_all.choose_best(trained_dbs[i])
best_chosen_algo.append(algorithms_m[algo_index])
print best_chosen_algo
for i in range(len(trained_dbs)):
temp=[]
temp.append(trained_dbs[i])
temp.append(best_chosen_algo[i])
dataset_algo.append(temp)
print dataset_algo
fp_dataset_algo=open("mapping_dataset_algo","w+")
pickle.dump(dataset_algo,fp_dataset_algo)
