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Would like to forecast future record(s) of CSV with Tangram based on existing data or a subset of existing data that is close to the current time (https://www.tensorflow.org/tutorials/structured_data/…
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Hello,
@amlrelsa-ms, @jialiu103 ,I have a suggestion for Custom Hierarchical Time series forecasting
[Reproducing the steps as mentioned in the notebook ](https://github.com/Azure/MachineLearningN…
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**Description:**
Predicting future traffic flow, which will aid in traffic management and planning. The goal is to build a model that can accurately forecast traffic flow based on historical data a…
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### Issue description
Greetings,
I'm working on a project related to forecasting time series with Deep Learning methods. A quick question about sequence missing and block missing from PyGrinder: I…
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**Describe the bug**
Conformal Interval fails silently, if the machine runs out of memory, which happens even with not extremely long time series on a MacBook Air with 16GB RAM
**To Reproduce**
…
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Issue collecting design discussion related to the boundary between `sktime` and `pytorch-forecasting`, with a particular focus on foundation models and weight management, also see `sktime` issue https…
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# Food Demand Forecasting for Restaurants
**Tier:** 2-Advanced
Food demand forecasting for restaurants is an application built to estimate the food demand that a restaurant is expected to receiv…