model-selection
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As a developer, If I want to add content to our notebook-based documentation, I typically modify the notebooks locally and then push changes up and open a PR.
The problem is that we don't want to check-in notebooks with cell outputs into our repo because it makes it harder to analyze the diff during PR reviews and it makes the notebooks larger.
This makes developing the notebooks a pain be
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We should add a description to each feature defined in smartcore in the Cargo.toml file, we could use as example the Cargo.toml file of the serde project.
We should add also the documentation for the "serde" feature that currently is not present in the Cargo.toml file.
Not sure if we can u
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Describe the solution you'd expect
This issue is meant to guide and support people who want to add an external reference showcasing the usage of this package, these references will be shown here
You can add a blog post, a video, a kaggle notebook or an article. You can add the link of the content in the file d
Is your feature request related to a problem? Please describe.
Feature is not directly related to a problem, but is rather an enhancement of existing functionality. As suggested by Julian King on the facet Slack channel, we could add Maximum Relevance Minimum Redundancy (MRMR) as a feature selection algorithm.
The algorithm is explained in the following papers:
https://arxiv.org/pdf/1
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Apache Arrow has a first-class tabular file format, Feather, that the Ray Datasets IO layer should support. Combined with Ray Datasets' existing
.from_arrow()and.to_arrow()APIs, this would round out our "all-Arrow" experience, which should be as nice as possible given our "distributed Arrow dataset" positioning.Implementation Note