All Questions
Tagged with pythontime-series
9 questions
2votes
1answer
41views
Is a two-phase model (ensembling/stacking) a valid approach for forecasting product demand?
I am working on a project to forecast food sales for a corporate restaurant. Sales are heavily influenced by the number of guests per day, along with other factors like seasonality, weather conditions,...
- 21
0votes
0answers
25views
Architecture of an LSTM with multiple (dependent?) time series
If you have multiple time series data for a given problem (e.g predicting house prices and data is available per city). Per city there is a list of features and the target feature. If you want to ...
- 1
0votes
1answer
60views
Feature Extraction for timeseries temperature signal [closed]
i have two temperature signals from which one is sensitive toward a specific event. I would like to know what other features can be useful to extract apart from: Angles (between the two). Slopes ( ...
- 61
1vote
0answers
59views
Surrogate model to produce time series from parameter set
Say I have a model $M$ that takes in a parameter vector $\beta$, and produces a (numerical) time series. This could be a complicated model (e.g. a bespoke enzyme reaction model), or something simple ...
- 11
1vote
0answers
51views
Is there a technique for analyzing the relationship between time-series clusters?
I have two time-series datasets (temperature and speed of the vehicle). I will use Agglomerative Hierarchical Clustering and DTW to cluster both datasets. I am looking for a technique (like regression ...
- 11
0votes
1answer
647views
How to forecast multiple target attributes in Python?
I need to forecast two non-correlated time-series (non-stationary). A sample is presented below: ...
-1votes
1answer
75views
What model to use to get a robust model to predict next 3 days of sales even for products that have just sold once ever?
PROJECT: I am working on an e-commerce site where digital products can run out so there is need to reorder them 72h before they run out (reordering them sooner is not a problem but having notification ...
- 101
1vote
1answer
118views
How to deal with very, very small time-series?
I have an ensemble of 231 time series, the largest among them being 14 lines long. The task at hand is to try to predict these time-series. But I'm finding this difficult due to the very small size of ...
3votes
1answer
815views
How to train a LSTM model with multi dimensional data
I am trying to train my model using LTSM layer in Keras (python). I have some problems regarding the data representation and feeding it into the model. My data is 184 XY coodinates encoded as a numpy ...
- 131
