All Questions
6 questions
2
votes
1
answer
967
views
Difference between single-step forecasting and multi-step in LSTM regression problem
I am using keras LSTM to do a time series prediction. It is a regression problem, where I want to predict for example the next 5 values. The data comes from a sensor and looks like this, where x axis ...
- 171
1
vote
0
answers
514
views
1D CNN for multistep multiclass timeseries classification
Suppose you have a timeseries classification task with n_classes possible classes, and you want to output the probability of each class for every timestep (like seq2seq). How can we achieve mult-step ...
- 354
0
votes
1
answer
437
views
How to implement a simple and basic multi step LSTM with Keras IN R?
Considering the following matrices
x_train <- matrix(c(1,2,3,2,3,4,3,4,5,4,5,6,5,6,7),
nrow=5,
ncol=3,
byrow=T)
y_train <- matrix(c(2,3,4,...
4
votes
0
answers
1k
views
LSTM Timeseries recursive prediction converge to same value
I'm working on Timeseries sequence prediction using LSTM.
My goal is to use window of 25 past values in order to generate a prediction for the next 25 values. I'm doing that recursively:
I use 25 ...
- 695
2
votes
1
answer
6k
views
Multiple outputs for multi step ahead time series prediction with Keras LSTM
Following a similar question, I have a problem where I need to predict many steps ahead of 3 different time series. I managed to generate a network that given the past 7 values of 3 time series as ...
- 3,851
1
vote
0
answers
1k
views
How to implement Multi-step ahead regression with LSTM in Keras?
I'm new to Keras . I want to predict the next 30 values of a time series using the previous 10 values of features (5 different features). Here is my code but I am almost sure that it is not the right ...
- 489