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Hello, I have added to BetaML a model to use a [AutoEncoder](https://sylvaticus.github.io/BetaML.jl/stable/Utils.html#BetaML.Utils.AutoEncoder) in a very simple way from the end user prospective, with…
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A continuation of the discussion at https://github.com/JuliaAI/MLJBase.jl/pull/841#issuecomment-1281941079.
I've started to look a bit more closely at the code here. The current use of `augmented_t…
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[MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/) is a machine learning framework that provides a large suite of common machine learning models, both supervised and unsupervised. This package…
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[MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/) is a popular machine learning framework for Julia. It ships with a large suite of common machine learning models, both supervised and unsuper…
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@ablaom assigning self.
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As I recall, we allow the specification of a target `y` when training an unsupervised detector, even though it is ignored, so that we may buy into MLJ's `evaluate` apparatus: If you have test labels, …
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Hello, just to preannounce a large name change in BetaML model names, in order to increase consistency.
These are in master, but not yet on any release, so still time to amend them:
| BetaML nam…
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Hi everyone,
*I would like to discuss how an outlier/anomaly detection API could look like in MLJ.*
**Is your feature request related to a problem? Please describe.**
I'm working on a package…
davnn updated
2 years ago