16 lines
783 B
Text
16 lines
783 B
Text
Yet another general purpose Naive Bayesian classifier.
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(under heavy development)
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Naive Bayes Classifier is probably the most widely used text classifier,
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it's a supervised learning algorithm. It can be used to classify blog posts
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or news articles into different categories like sports, entertainment and
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so forth.
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Naive Bayes is a simple technique for constructing classifiers: models that
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assign class labels to problem instances, represented as vectors of feature
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values, where the class labels are drawn from some finite set. It is not a
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single algorithm for training such classifiers, but a family of algorithms
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This package provides backports of new features in Python???s tempfile module
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under the backports namespace.
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WWW: https://github.com/pjdelport/backports.tempfile
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