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G'day, how's it going?
I've just started looking into machine learning stuff, and stumbled upon this, looks awesome!
I just want to know what kind of methods I should use for the following:
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It would be useful to have a naive function that looks at release metadata and detects gratuitous spam. In theory upstream partner sources should be able to catch spam, but, eg, today Zenodo had more …
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Sentiment Analysis for Restaurant Reviews
:red_circle: **Aim** : The aim is to analyze the reviews collected in the dat…
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great code thanks
may you clarify :
will it work for multivariate time series prediction both regression and classification
each row means the time series, and columns represent different cont…
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I hear that using [odds ratio](https://en.wikipedia.org/wiki/Odds_ratio) for feature selection with Naive Bayes isn't that useful, but perhaps the [chi-squared test](https://en.wikipedia.org/wiki/Pear…
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Bayesian classifiers using Lucene as data store. Based on the Naive Bayes and Fisher method algorithms as described by Toby Segaran in "Programming Collective Intelligence", ISBN 978-0-596-52932-1.
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What could be a good classifier to implement (in matlab) if I'm using some calculated network measures as an input? I was trying to implement a likelihood ratio classifier, but I don't have very much …
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It looks like ngram.py from arxiv-classifier is building a phraser from the whole training corpus and using that during training but not using it during classification.
It doesn't seem correct to …
bdc34 updated
5 years ago
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我用Spark写过两个机器学习算法，[Naive Bayes classifier](https://github.com/apache/incubator-spark/pull/292), [Random forest](https://github.com/apache/incubator-spark/pull/370), [Apache Spark 的 RDD](http://www.cs.…
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Hey, thanks for sharing this project!
Is incremental learning supported by smartcore; something like `partial_fit` from sk-learn?