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When I execute this sample code below, everything works with out an error. When I try to use predict function with test data, it results in predicting everything instead of just test data set
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It would be nice to have `residuals()`, `fitted()`, `predict()` working. Raw residuals (fitted-observed) should be fairly straightforward, especially if we write a `model.response()` accessor ... Pea…
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Hi.
Can I ask you a question here about your code?
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The predicted variance can become negative when lots of points are added. I believe this is due to numerical approximation in inverting the kernel matrix. The issue seems to be very similar to the one…
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Definitions from Wikipedia and [Cross Validated](https://stats.stackexchange.com/questions/71134/prediction-interval-credible-interval)
A credible interval [a,b] is a subset of the parameter space su…
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prediction by calculating the empirical covariance matrix for each of the 14 species. Given the flowering of others, whats the probability of flowering?
bw4sz updated
4 years ago
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Hello,
I have installed and tried to predict the genre of a rock song. It predicted it as 'country'. Then I tried to predict the song from the data set. I tried to predict country.00011.au.wav song f…
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Hi,
Thank you for ths new methodology. Was trying out and i realized that after modelling in glm() mode, there is no way i can output my prediction in probability. I tried setting: predict(xtest, t…
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Hi,
Think I may have spotted a bug in the quantile random forest regression method. The predict function in the code passes in quantiles = 0.5 as an argument. I believe it is meant to be what = …
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I have run `python3 run.py train ...`, and when I run `python3 run.py pre`, it's slow to generate codes for a card.
It takes about 5-10 minutes for a card.
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