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  "Title": "Extremely Fast Implementation of a Naive Bayes Classifier",
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  "Author": "Martin Skogholt",
  "Maintainer": "Martin Skogholt <m.skogholt@gmail.com>",
  "Description": "This is an extremely fast implementation of a Naive Bayes\nclassifier. This package is currently the only package that\nsupports a Bernoulli distribution, a Multinomial distribution,\nand a Gaussian distribution, making it suitable for both binary\nfeatures, frequency counts, and numerical features. Another\nfeature is the support of a mix of different event models. Only\nnumerical variables are allowed, however, categorical variables\ncan be transformed into dummies and used with the Bernoulli\ndistribution. The implementation is largely based on the paper\n\"A comparison of event models for Naive Bayes anti-spam e-mail\nfiltering\" written by K.M. Schneider (2003)\n<doi:10.3115/1067807.1067848>. Any issues can be submitted to:\n<https://github.com/mskogholt/fastNaiveBayes/issues>.",
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    "extra/citation.json",
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    "fnb.load",
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    "fnb.poisson",
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    "fnb.train",
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      "title": "This data originally came from Crowdflower's Data for Everyone library.",
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        "text"
      ],
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    },
    {
      "name": "tweetsDTM",
      "title": "This data originally came from Crowdflower's Data for Everyone library.",
      "object": "tweetsDTM",
      "class": [
        "data.frame"
      ],
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      "rows": 14640,
      "table": true,
      "tojson": true
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      "page": "fastNaiveBayesF",
      "title": "Fast Naive Bayes Classifier for different Distributions",
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        "fastNaiveBayes",
        "fastNaiveBayes.default",
        "fnb.bernoulli",
        "fnb.bernoulli.default",
        "fnb.gaussian",
        "fnb.gaussian.default",
        "fnb.multinomial",
        "fnb.multinomial.default",
        "fnb.poisson",
        "fnb.poisson.default",
        "fnb.train",
        "fnb.train.default"
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    },
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        "fnb.detect_distribution.default"
      ]
    },
    {
      "page": "fnb.io",
      "title": "Save & Load Function for Fast Naive Bayes Models",
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        "fnb.load",
        "fnb.load.default",
        "fnb.save",
        "fnb.save.default"
      ]
    },
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        "fnb.update.fnb.bernoulli",
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      "title": "Predict Method for fastNaiveBayes fits",
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        "predict.fnb.bernoulli",
        "predict.fnb.gaussian",
        "predict.fnb.multinomial",
        "predict.fnb.poisson"
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    {
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      "title": "This data originally came from Crowdflower's Data for Everyone library.",
      "topics": [
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    },
    {
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      "title": "Fast Naive Bayes",
      "author": "Martin Skogholt",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Text Classification",
        "Naive Bayes",
        "The prior",
        "Event models",
        "Bernoulli Distribution",
        "Multinomial Distribution",
        "Gaussian Distribution",
        "Mixed Distributions",
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