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Hello,
I have modified the code binary classification.
Is there any way to interpret the obtained Predictive Uncertainty? After computing the predictive variance i.e. the sample variance of T stocha…
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I'm not sure if this is much of an issue, but I had trouble with one or two models where rows of the topic distribution didn't sum to one. This causes pyldavis to fail in `_input_check` here,
https:/…
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I'm trying to understand the relationships and trends among these quantities.
From some experiments, I find that
1. as the training loss declines, the entropy of the distribution increases rathe…
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**Describe the bug**
As discovered by user Grünewald, the polydispersity plots provided by the SasView GUI, while labeled as "normalized probability," actually plot the normalized weights at each int…
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**MARKOV CHAIN MODEL**
1. ANNUAL RAINFALL
** summarize data into categories (say, low, medium, high) for each station
** generate Transition Probability Matrix (TPM) using Maximum Likelihood E…
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The following code (plotting only values for `cl in [1,2]`)
```
tmp = pd.DataFrame({'x':[1,2,3,1,1,3,4,4,4],
'cl':[1,1,1,2,2,2,3,3,3]})
ggplot(tmp[tmp.cl
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In the documentation the expression given for the density of the Gaussian distribution assumed for the observation model
https://github.com/dstansby/demcmc/blob/a6d184a5625e5f468fce2639bac39f72c4d8…
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It seems current tch-rs lacks distribution primitives like [torch.distributions](https://pytorch.org/docs/stable/distributions.html) and [tf.distributions](https://www.tensorflow.org/api_docs/python/t…
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Comparisons are a reasonable operation to perform on a vector, and so a reasonable approach for comparing distributions with numbers or distributions is required.
This is especially problematic whe…
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the two modes in crf are join mode and marginal mode,but i am not clear about the marginal mode,and i use this mode to train the data, the result is almost same to the softmax, anyone can explain it?