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In certain cases, we might repeat lots of small ensembles in a single "layer" (e.g. the vision network of @hunse, or my texture classifier), and this turns out to be very inefficient because lots of s…
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As per this comment https://github.com/Wikidata/soweego/issues/363#issuecomment-527420517 since we will not be using `LSVM` as part of our pool of classifiers for creating ensembles (because it doesn'…
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one should be able to put this on regression learners.
@larskotthoff did this PR #549
and we need to figure out how to put this on classifiers with "uncalibrated" scores
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Different classifiers may capture different relations in the data. We can join what each classifier learns by creating ensembles of them.
- [x] Use sklearn's VotingClassifier instead of our implem…
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_Decision trees_, or their more complex version _random forest_ (which is just an ensemble of decision trees), are commonly used as a fast and effective classifier in ensembles of other algorithms.
…
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When two lines have the same "title" AND "year" AND "authors" keep only one (the first? the most complete?)
Below the three key in ISI and SCOPUS:
- title --> ISI = TI / Scopus = Title
- year -->…
tommv updated
3 years ago
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**Submitting author:** @kiretd (Kiret Dhindsa)
**Repository:** https://github.com/McMasterRS/LFSpy
**Version:** v1.0.4
**Editor:** @dfm
**Reviewers:** @effigies, @sauln
**Archive:** 10.5281/zenodo…
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this needs updating. Desired characteristics:
1. Use ClassifierResults not bespoke file writing
2. Mechanism for checking if results are present, then build from file
3. Ability to thread the compo…
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arXiv论文跟踪
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I tried auto-sklearn using the data from a [Kaggle competition](https://www.kaggle.com/c/santander-customer-satisfaction/data), and no matter how I configure the classifier, sklearn's `DummyClassifier…