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Unless I misunderstand how it works, the `@from_network` works like this:
```
@from_network CompositeModel(comp1=comp1, comp2=comp2)
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I know we were going to do all the Brier scores at once, but this requires a largish PR at Distributions (https://github.com/JuliaML/LossFunctions.jl/issues/108). In the meantime testing and tutorial …
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[The example](http://docs.rigetti.com/en/latest/intro.html#example-the-probabilistic-halting-problem) does not work with ProtoQuil, which is why it throws an error when using it like
```python
with …
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For Probabilistic models, the [Quick Start Guide](https://alan-turing-institute.github.io/MLJ.jl/dev/quick_start_guide_to_adding_models/#Predict/Transform-1) says the returned value of `predict` shoul…
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Consider the following scenario, assuming that the MTU from the client to the server is 1200 bytes, and the MTU from the server to client is 1000 bytes.
* step 1. Client sends:
* datagram (1200 by…
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When running API servers behind proxies, most of our clients (anything depending on rest client) is very good at not dropping connections. However, this means that in the event one of the backing API…
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I have a custom loss function that utilizes the whole batch to come up with a loss. What would be the best way to utilize Deep Kernel Learning in this setting? I understand that it is very easy to wra…
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**Describe the bug**
I am using LogisticClassifier pkg = MLJLinearModels.
I would expect each coefficient to have a corresponding mean_and_std_given_feature. However, mean_and_std_given_feature i…
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## Issue description
I am using snorkel for creating binary text classification training examples with 9 labeling functions. However, I find that for some data that are trained with the label model…
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**Describe the bug**
live.magicc.org provides tunings for the other bench marked atmospheric-ocean general circulation models mentioned in the main MAGICC reference paper ([http://www.atmos-chem-phys…