g_series_6.ipynb

Hello you are predicitng for the interval that is present on the dataset but what about for the predicitng of the furthur month which are not the part of the datset. Like for eg for 01-01-2018.

I was wonder the same as above. How does one predict into the future? Did you get this figured out @ankitrules27

Hello, nice script and works very good.
I have the same question as above.
How can you make a prediction for the next couple of months?
@ankitrules27 @aBOBination where you able to find out?

Thank you in advance

I need the data for this notebook. Does anyone have the source?

Could you please explain how we going to predict for future months data where actual Sales data not present?

I have the very same question as above. Anyone with an answer?

3 input dimensions for LSTM should be: samples, time steps, and features. but yours is samples, features and time steps?

I have the very same question as above. Anyone with an answer?

The dataset he put it in the article please read it.

I need the data for this notebook. Does anyone have the source?

He put the dataset in the article, please read!

Hello, nice script and works very good.
I have the same question as above.
How can you make a prediction for the next couple of months?
@ankitrules27 @aBOBination where you able to find out?

Thank you in advance

If you have the last month data then you can predict the month right after the last month

I need the data for this notebook. Does anyone have the source?

Just copy train.csv to sales_data.csv. Look for the data files on the article: https://www.kaggle.com/c/demand-forecasting-kernels-only/data

Good day!

I am getting error on indent 41
print np.concatenate([y_pred[index],X_test[index]],axis=1)
^
SyntaxError: invalid syntax

In [41]:

#rebuild test set for inverse transform
pred_test_set = []
for index in range(0,len(y_pred)):
print np.concatenate([y_pred[index],X_test[index]],axis=1)
pred_test_set.append(np.concatenate([y_pred[index],X_test[index]],axis=1))

Please tell me the solution.

Thank you

Good day!

I am getting error on indent 41
print np.concatenate([y_pred[index],X_test[index]],axis=1)
^
SyntaxError: invalid syntax

In [41]:

#rebuild test set for inverse transform
pred_test_set = []
for index in range(0,len(y_pred)):
print np.concatenate([y_pred[index],X_test[index]],axis=1)
pred_test_set.append(np.concatenate([y_pred[index],X_test[index]],axis=1))

Please tell me the solution.

Thank you

This is running version 2.X of python, while you're running python 3.X, just add () for the print print(np.concatenate([y_pred[index],X_test[index]],axis=1))

Добрый день!
Я получаю ошибку при
отступе 41 print np.concatenate ([y_pred [index], X_test [index]], axis = 1)
^
SyntaxError: недопустимый синтаксис
В [41]:
#rebuild набор тестов для обратного преобразования
pred_test_set = []
для индекса в диапазоне (0, len (y_pred)):
print np.concatenate ([y_pred [index], X_test [index]], axis = 1)
pred_test_set.append (np .concatenate ([y_pred [индекс], X_test [индекс]], ось = 1))
Подскажите пожалуйста решение.
Спасибо

Это работает под управлением Python версии 2.X, в то время как вы используете Python 3.X, просто добавьте () для печати print(np.concatenate([y_pred[index],X_test[index]],axis=1))

Thank you!