Questions tagged [forecasting]
Forecasting is the process predicting future values based on historic and current data, typically for time-series datasets.
342 questions
1 vote
0 answers
50 views
How to improve classification model (item will sell that day or not) for dataset with multiple sparce timeseries?
I am trying to create one big model(lightGB) that forecasts sales for each product for cosmetic chain store. Dataset I am working with is last 5 years data and has these columns: ...
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0 votes
1 answer
85 views
Lagged feature engineering - time series forecasting with blocked cross validation
I am working in a team developing a time series forecasting model using xgboost (or similar). We have a draft workflow for optimising model hyperparameters, incorporating an initial train-test split ...
1 vote
0 answers
29 views
Can i use historical error occurrence count data every day from a machine to predict when the errors will cross a certain threshold?
I have been working on a project for predictive maintenance and have been studying research papers on it. According to my observation, predictive maintenance is mainly done using sensor data tracking ...
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1 vote
0 answers
19 views
How to forecast the solution of a coupled ODE if I have multiple input variables?
I have a coupled ODE and the time series data that is representative of the ODE. I want to do a multi-step forecast. What I have a problem is coding or creating the logic flow in my code, since I have ...
- 21
1 vote
0 answers
57 views
Difficulity extracting predicted values and target values from TFT model (pytorch)
I'm building a TFT forecasting model using PyTorch for the first time and having trouble extracting the predicted values along with their corresponding actual values from the output. Ideally, I’d like ...
- 11
1 vote
0 answers
44 views
Advice on predictive forecast model
I am working for a company that deals with government subsidies and grants, and I'm currently tackling a challenging forecasting problem. Each year, a fixed amount is allocated for various measures, ...
- 11
0 votes
0 answers
49 views
What happens if one uses the forest-based predictive models with a single tree or estimator for 1D time data?
I'm experimenting conformal prediction over high-frequent time data using following forest-based regression models for an in-sample forecasting task The size of uni-variate (1D) time-series data is <...
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2 votes
0 answers
33 views
How should I input and output feature and target timeseries to timeseries transformer
I am trying out PatchTST timeseries transformer (paper, code) on a timeseries data that I have. The way PatchTST handles data is as follows: Note that on line 78-79, the repo does following: ...
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