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- PyTorch-Forecasting version: 0.8.4
- PyTorch version: 1.7.1+cu110
- Python version: 3.6.8
- Operating System: Windows
I tried to fit TFT model with univariate signal, no covariates at all, and…
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**Describe the bug**
When fitting N models one for each forecasting horizon using **make_reduction** with **strategy="direct"** and **pooling="global"**, the dataset that is used to train the model…
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In renewables forecasting, we care about wind speed, solar irradiation at the location of single wind/solar parks. ECMWF IFS with its 0.1deg resolution gives us good forecast performance, but anything…
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### Short description of current behavior
This applies to both StatsForecast and TimeGPT models:
Created models and trained them with the historical_expenditures data. Then, wanted to make predict…
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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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Large question, and requires some discussion and then some planning. But as it keeps coming up, I think we need to discuss it:
Basic question is, should we rename the current `fmu.iteration` to `fm…
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Isn't it the "object_detections.json" file that we can get from "ego4d_data/v2/sta_models/", like the SlowFast example at https://github.com/EGO4D/forecasting/blob/main/SHORT_TERM_ANTICIPATION.md#prod…
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### Description
`mlforecast` currently allows for recursive single-model forecasts, or direct multi-model forecasts where a single model is trained to predict a particular data point in the horizon…
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### Describe the issue linked to the documentation
link: https://auto.gluon.ai/stable/tutorials/timeseries/forecasting-metrics.html
> AutoGluon will use the provided metric to tune model hyperpara…
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The scikit-learn implementations of PLS and CCA have predict() methods that are very useful for cross-validation and forecasting. Is it possible to add these to cca-zoo models where appropriate?