Different pruning methods for Palladian text classifier models.
Trains a support vector machine.
Simple parallel threaded implementation of LDA for topic detection.
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.
Extracts the features energy, orientation and coherency from images.
Adds artificial data to improve the learning quality using the SMOTE algorithm
Predictor for a dictionary-based text classifier for categorizing text documents.
Creates a density model of a n-dimensional vector space, based on a kNN graph.
Trains a Probabilistic Neural Network (PNN) on labeled data.
Uploads items data to the Amazon Personalize space.
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