Sklearn Gaussian Process Classification Learner (Labs) 

Gaussian Process Classification Learner

Text Classifier Model Pruner 

Different pruning methods for Palladian text classifier models.

SVM Learner 

Trains a support vector machine.

Topic Extractor (Parallel LDA) 

Simple parallel threaded implementation of LDA for topic detection.

FeatureCounts 

featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

OrientationJ Measurement Streamable

Extracts the features energy, orientation and coherency from images.

Text Classifier Predictor Streamable

Predictor for a dictionary-based text classifier for categorizing text documents.

SMOTE 

Adds artificial data to improve the learning quality using the SMOTE algorithm

Graph Density Initializer 

Creates a density model of a n-dimensional vector space, based on a kNN graph.

PNN Learner (DDA) 

Trains a Probabilistic Neural Network (PNN) on labeled data.