gc.collect()
items = pd.read_csv("../input/items.csv")
test = pd.merge(test_e, items, on='item_nbr', how='inner')[[
'unit_sales', 'pred_sales', 'date', 'perishable'
]]
del test_e, items
# Check memory usage of test
print(test.memory_usage(index=True))
new_mem_test = test.memory_usage(index=True).sum()
print("test dataset uses ", new_mem_test / 1024**2, " MB after changes")
gc.collect()
eval_test(test)
##########################################################################
# Submit
else:
logger.info('Making submission...')
X_test_out.reset_index(inplace=True)
del X_test_out["date"]
X_test_out = X_test_out.set_index(["store_nbr", "item_nbr"])
y_test = np.array(test_pred).transpose()
df_preds = pd.DataFrame(
y_test,
index=X_test_out.index,
print("test dataset uses ",new_mem_test/ 1024**2," MB after changes")
gc.collect()
items = pd.read_csv("../input/items.csv")
test = pd.merge(test_e, items, on='item_nbr',how='inner')[['unit_sales', 'pred_sales', 'date', 'perishable']]
del test_e, items
gc.collect()
# Check memory usage of test
print(test.memory_usage(index=True))
new_mem_test=test.memory_usage(index=True).sum()
print("test dataset uses ",new_mem_test/ 1024**2," MB after changes")
outstring = eval_test(test)
logger.info(outstring)
##########################################################################
# Submit
else:
logger.info('Making submission...')
X_test_out.reset_index(inplace = True)
del X_test_out["date"]
X_test_out = X_test_out.set_index(["store_nbr", "item_nbr"])
y_test = np.array(test_pred).transpose()
df_preds = pd.DataFrame(
y_test, index=X_test_out.index,
