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Suppose I have the following model
```
A = MultiMixture(
(q_ij, q_ji),
Bernoulli,
eta,
plates=(N, N)
)
```
where `q_ij` and `q_ji` are some appropriate `Categor…
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Each segment should take an arbitrary number of linear predictors. As with the `segmented` package, the only requirement is that one continuous predictor (say, `x`) is the dimension of the change poin…
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Hello,
I am running bayes.glmm r package but it is giving an error:
data("sample", package = "bayes.glmm") pheno = data$pheno geno = data$geno cov = data$cov L
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The sets of functions
**Preparation functions**
- [ ] Check class of columns
- [ ] Prior functions - sets prior based on class, variable and random effect
- [ ] Function assessing amount of missin…
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I'm reading the tuner-subclassing tutorial for custom training loops on keras-team.github.io ([link](https://keras-team.github.io/keras-tuner/tutorials/subclass-tuner/))
In the end-to-end example I d…
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with tf.Graph().as_default():
net = tflearn.input_data(shape=[None, 27, 27, 1])
**# As I understand, a mini-batch of 'train_data' is fed into 'net'**
**# How can I get the true labels (…
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@raver119
I'm using `ParagraphVectors` in an unsupervised (unlabeled way). Rather than having a neural net with say ~50k words / NLP features, I'm constructing ParagraphVectors of 200-1000d in len…
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[treelite](https://treelite.readthedocs.io/en/latest/tutorials/builder.html) is a format for serializing trees for prediction only. It takes xgboost, lightgbm, and sklearn trees out of the box. It bas…
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I have modified alexnet example to use my own dataset. So training works fine. However, I want to test the accuracy so I am trying to use the model.predict() and model.evaluate() methods.
I have crea…
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Hello,
I was having problem with shap.TreeExplainer
The problem is binary classification, sample size is too small, and model predictions are all from one class
Code to reproduce:
Shap vers…