YAO/YAO-optimizer
1
0
Fork 0
mirror of https://github.com/newnius/YAO-optimizer.git synced 2025-12-15 09:06:43 +00:00
Code Issues Releases Wiki Activity

update

Browse Source
This commit is contained in:
Newnius
2020-05-02 13:00:39 +08:00
parent abe9929c47
commit 27e23dba12
2 changed files with 16 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
train.py
View File

@@ -93,8 +93,10 @@ def experiment(repeats, series, seed):
lag2 = 4
supervised = timeseries_to_supervised(diff_values, lag2)
supervised_values = supervised.values
test_data_num = 32
# split data into train and test-sets
train, test = supervised_values[0:-12], supervised_values[-12:]
train, test = supervised_values[0:-test_data_num], supervised_values[-test_data_num:]
# transform the scale of the data
print(test)
scaler, train_scaled, test_scaled = scale(train, test)
@@ -131,8 +133,8 @@ def experiment(repeats, series, seed):
# store forecast
predictions.append(yhat)
# report performance
rmse = sqrt(mean_squared_error(raw_values[-12:], predictions))
print(predictions, raw_values[-12:])
rmse = sqrt(mean_squared_error(raw_values[-test_data_num:], predictions))
print(predictions, raw_values[-test_data_num:])
print('%d) Test RMSE: %.3f' % (r + 1, rmse))
error_scores.append(rmse)
return error_scores