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I have written a custom unsupervised learning model that implements `transform` and `fit`. I'd like to use MLJ to perform resampling and obtain out-of-fold output for this model. For example, given a …
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**Describe the bug**
I have a problem using the UnsupervisedDetector models in a pipeline. I have tried a two different simple linear pipelines, one with a standardizer and LOFDetector and one with…
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**Describe the bug**
I want to optimize the hyperparameters of a simple pipeline. According to the [MLJ docs](https://alan-turing-institute.github.io/MLJ.jl/dev/tuning_models/#Tuning-multiple-neste…
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It would be really neat if this idea was integrated into MLJ ecosystem in some form so Julia can have something like what Python has with scikit-learn. Custom transformers supported by the ML ecosyste…
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Looking at bit into MLJ integration. For better or worse, hyper-parameter optimization (eg, grid search) in MLJ generally works by mutating the field values of the model struct. I wonder if TableTrans…
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Hi everyone, as usual, thanks for helping me out on those issues!
I have 2 models that are NOT of the same type but they share common hyperparameters (not all of them, the set of shared hyperparame…
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Hi - is there a method to get shapley values for classification problems? The code I tried is below:
> RFC = @load RandomForestClassifier pkg="DecisionTree"
rfc_model = RFC()
rf_machine = machine…
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This follows a discussion on Slack and @ablaom's suggestion to open an issue to brainstorm ideas.
**The problem**
Consider a machine learning model with p-dimensional features X. Now assume that f…
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Clustering models in MLJ are implemented as `Unsupervised`
models. While they share common functionality, this has not been
properly documented, and there is no model subtype or trait that tags
a m…
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As was discussed on Slack, there may be design decisions to take so that MLJ can support non-iid tabular data (time series or other).
To get the ball started, here are some thoughts on time series a…