classifier and modular alluvial

  • A Modular Machine Learning System for Flow Level Traffic .

    accurately reproduces the labels of the packet level classifier when runs on .. Modular Machine Learning System for Traffic Classification in Large Networks. 4:3.

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  • TensorFlow for R: Simple Audio Classification with Keras RStudio

    Jun 5, 2018 . Simple Audio Classification with Keras. In this tutorial we will .. shortcuts to used TensorFlow modules. audio_ops Alluvial Plot. We can see.

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  • Tutorial: Building a Text Classification System TextBlob 0.15.2 .

    The textblob.classifiers module makes it simple to create custom classifiers. . Now we'll create a Naive Bayes classifier, passing the training data into the.

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  • Piedmont Alluvial Vegetation: Classification, Geographic Variation .

    Classification and description of alluvial plant communities of the. Piedmont region, North .. four modules of 10 × 10m, each with 2 nested subplots of 10m. 2.

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  • sklearn.svm.SVC scikit learn 0.20.1 documentation

    Specifies the kernel type to be used in the algorithm. It must be one of 'linear', 'poly', 'rbf', 'sigmoid', 'precomputed' or a callable. If none is given, 'rbf' will be used.

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  • sklearn.naive_bayes.MultinomialNB scikit learn 0.21.2 .

    The multinomial Naive Bayes classifier is suitable for classification with discrete features (e.g., word counts for text classification). The multinomial distribution.

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  • nltk.classify package NLTK 3.4.4 documentation

    A classifier model based on maximum entropy modeling framework. . In the rest of the nltk.classify module, the term features is used to refer to what we will.

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