Questions tagged [forecasting]

Question 1

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: ...

Question 2

day Modified today Viewed 25 times 0 I want to build a model that forecasts ticket resolution time for a data science software support tickets . I’ve calculated queuing time and resolution time from ...

Question 3

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 ...

Question 4

I'm currently exploring a couple of statistical forecasting methods. My problem rose when using VARMA(2,1) fixed window rolling forecast. The example code that I'm using is the following: Here I only ...

Question 5

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 ...

Question 6

I have spatio-temporal data with PM2.5 concentration at a daily timestamp for 51 latitudes and 51 longitudes (51 x 51 grid). I converted the netCDF files to a pandas dataframe with timestamp as the ...

Question 7

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 ...

Question 8

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,...

Question 9

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 ...

Question 10

I am wanting to run a series of models in the automatic time series package, AutoTS in python. One of the models I am trying to run as one of the contenders is a naive model. However, whenever I try ...

Question 11

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, ...

Question 12

There is a Hydrological Station on a river having the provision of water level readings through gauge/staff posts (hourly during the monsoon). There are old such datasets of water levels time stamped. ...

Question 13

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 <...

Question 14

I have a multivariate time series forecasting model that originally used dilated temporal convolution for temporal dependencies extraction that i tried to replace with multi head self-attention with ...

Question 15

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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Questions tagged [forecasting]

How to improve classification model (item will sell that day or not) for dataset with multiple sparce timeseries?

expected the model to forecast resolution time more accurately based on past ticket patterns. I was also hoping to unde

Lagged feature engineering - time series forecasting with blocked cross validation

VARMA runtime issues: fixed window rolling forecasting

Can i use historical error occurrence count data every day from a machine to predict when the errors will cross a certain threshold?

Time Series Forecasting Using Geospatial Data

How to forecast the solution of a coupled ODE if I have multiple input variables?

Is a two-phase model (ensembling/stacking) a valid approach for forecasting product demand?

Difficulity extracting predicted values and target values from TFT model (pytorch)

Is there a way of running a model, or a series of models in the AutoTS package without any transformations

Advice on predictive forecast model

How can I use Orange for Flood Forecasting purpose for a Hydrological Station on a River?

What happens if one uses the forest-based predictive models with a single tree or estimator for 1D time data?

Pytorch mat1 and mat2 shapes cannot be multiplied (131072x12 and 64x32)

How should I input and output feature and target timeseries to timeseries transformer

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