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Let's discuss here the logic of how multi-segment fitting can/will go, now that we have abstracted out `Fitter` and its spoon-feeding parent `Model`.
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I have a univariate 2D dataset made up of many non-consecutive trials (or slices/windows) of a time series (one trial is not continuous with another trial). I would like to fit an AR model to this col…
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Hi!
Thank you for providing this useful AutoML package.
In several of the main tree models (e.g. XGBoost 2.0, CatBoost) the regressors support fitting against multiple targets (see [here](http…
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A bad fitting supermodel appears to fit well...
Build a supermodel of vehicle weight in `mtcars` data, with sub-groups for `auto` and `manual` transmissions:
```R
m1 = mxModel("indep", mxFitFun…
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thans for you work.
I wonder the improvement compared with 3d-reconstruction on single image (3DMM-pytorch-fitting) ?
And if there is any material or paper about the effect difference between multiv…
lvZic updated
4 months ago
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Hi @Innixma
When 'n_train_subsmaple' is set to 5000, and the number of train_data is larger than 5000, say, 40000, the following error is reported.
### **Error messages**
File "C:\miniconda…
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hello,author:
when i was using hierarchical_mapper to reconstruct a large scale of dataset.The merging of submodels is not fitting well .
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running…
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Hello together,
I am trying to train a PET model with the current version of metatrain.
I have set up a new environment and followed the installing instructions.
However I do not find an input f…
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This is a suggestion to simplify this:
https://github.com/nipreps/eddymotion/blob/b1f70cc67417ac2fab43ccf5196b9b26397b2326/src/eddymotion/model/base.py#L160
We are in the midst of some work to …
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### 🚀 The feature, motivation and pitch
I attempted to construct a small-scale natural language processing model using torch.nn.GRU(num_layers=N, bidirectional=True). During training, the loss cons…