Zhihan Yue

Hope this pseudo code helps to clarify the training and inference process for forecasting. ``` repr_model = train_ts2vec(train_x) train_repr = repr_model.inference(train_x) ridge_model = train_ridge(train_repr, train_target) test_repr = repr_model.inference(test_x) test_pred =...

@StatMixedML - We show test data to embedding model **on inference** rather than training. All code in `tasks` folder is only used to evaluate the **trained** TS2Vec model. - No....

@StatMixedML This is a rolling evaluation. For each timestamp, we need to evaluate its 24-step-ahead forecasting performance. 5237 is the number of samples. For each sample, "x" is the 320-length...

> @yuezhihan Thanks for the detailed answer. Things are getting clearer now. > > If I understand you correctly, based on the rolling evaluation, we use > > ```python >...

> @yuezhihan Many thanks for your great and detailed explanations, very much appreciated!! I have now a much better understanding. > > If I may raise another question: based on...

I met the same problem

Since Qgrid has ceased maintenance, I've created a new repo [QgridNext](https://github.com/zhihanyue/qgridnext) to continue maintaining it for future Jupyter versions. It removed full screen mode causing this issue and fixed infinitely...

I've created a new repo [QgridNext](https://github.com/zhihanyue/qgridnext) to continue maintaining it for future Jupyter versions. Now it is compatible with recent releases of Jupyter: | QgridNext | JupyterLab | Notebook |...

I've created a new repo [QgridNext](https://github.com/zhihanyue/qgridnext) to continue maintaining it. QgridNext is now compatible with recent releases of Jupyter and addressed many bugs found in Qgrid.

I've created a new repo [QgridNext](https://github.com/zhihanyue/qgridnext) to continue maintaining Qgrid for future Jupyter versions. QgridNext is now compatible with recent releases of Jupyter: | QgridNext | JupyterLab | Notebook |...