-
Hi,
I am trying to test Lagllama on a prediction task. the dataset i feed is what i use for context. then using that context, i want it to make predictions. however, the first step of the predictions…
-
Hello, first and foremost, thank you for creating this library!
I may have found a bug, but I also found a workaround / solution and thought I'd share it here.
TL;DR: When using `TensorField` whil…
-
I'm training my classifier using
clf = RVC(kernel = 'rbf')
clf.fit(embeddings, labelsNum)
were the number of labels = 10
When I inspect the clf I get this:
with open('RVC.pkl', 'r')…
-
i already do
`finetune_forecast_trainer.evaluate(test_dataset)`
but how i use it to make inferention ?
-
Dear Esteemed Maintainers,
In light of the rapid advancements in artificial intelligence, vector embeddings, and the general future of computational paradigms, I believe it is time to rethink and r…
-
Dear SimMiM team,
Thank you for sharing this great work. I really like it.
In the section 3.3 prediction head, you mention about 'inverse swin'. Could you specify what it is? Could you provide …
-
Hi,
I’m trying to use the predict method from `TFTModel` with `predict_likelihood_parameters=True`, and the returned `TimeSeries` has static_covariates set to None.
However, if I call predict with…
-
I am using predict_merMod to get the prediction standard errors as described in http://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#predictions-andor-confidence-or-prediction-intervals-on-predictio…
-
I think some of the TVP fits in the TVP notebook can be improved by using different priors on the GP.
Basically, I'd propose to:
1. Use the PC prior as the default prior for a GP TVP.
2. Allow th…
-
I feel we're now going a bit all over the place and it will be hard to structure a coherent study. The initial "pitch" notes were structures around "forward classification" and "inverse design". Now w…