Xinyu Wu

单独有一个暗色主题也好

可以看看 [AG grid](https://www.ag-grid.com/)

`import` below gave me the same error: ```python from pytorch_forecasting.models.temporal_fusion_transformer.tuning import ( optimize_hyperparameters, ) ``` packages (Python 3.10.14 (main, Mar 21 2024, 16:24:04) [GCC 11.2.0] on linux): ``` optuna 3.6.0...

also see https://github.com/jdb78/pytorch-forecasting/issues/1468

We can pass information (JSON) by setting output parameter: https://docs.github.com/en/actions/using-workflows/workflow-commands-for-github-actions?tool=bash#setting-an-output-parameter A matrix can be generated from a json object: https://docs.github.com/en/actions/learn-github-actions/expressions#fromjson

Maybe this will work: ```json { "include": [ { "test alias": "foo", "estimators": [ "NeuralForecastRNN" ], "dependencies": [ "neuralforecast==1.7.0", "statsmodels==0.14.1" ] }, { "test alias": "bar", "estimators": [ "SimpleRNNRegressor" ],...

> Just a general comment. I would propose to split this into multiple PRs. This would make it easier to review. I would propose a PR for the pytorch-forecasting adapter...

> so I wonder if there is a simpler example to develop around. Maybe NeuralForecast could be a simpler example as it's already been interfaced and all models from NeuralForecast...

The basic fit-predict functionality works for 3 demos now 1. stallion_data from pytorch-forecasting: [test1.txt](https://github.com/sktime/sktime/files/14970417/test1.txt) 2. synthetic data generated by neuralforecast: [test2.txt](https://github.com/sktime/sktime/files/14970419/test2.txt) 3. ElectricityConsumptionZurichDataset from darts: [test3.txt](https://github.com/sktime/sktime/files/14970420/test3.txt)

Some tests are passing "X = None" to forecaster even with the tag "requires_X = True": `check_estimator(PytorchForecastingTFT)`: ``` FAILED: test__y_and_cutoff[PytorchForecastingTFT-y:1cols] FAILED: test__y_and_cutoff[PytorchForecastingTFT-y:2cols] FAILED: test__y_when_refitting[PytorchForecastingTFT-y:1cols] ... and more ``` @fkiraly This...