cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and
•JitterComponent—Usingproprietaryalgorithms,IntelAdvancedLinkAnalyzer performsaseriesofspectrumandprobabilitydensityfunction(PDF)analyseson thetime-interval-error(TIE)recordofthesimulatedwaveforms.Thejitter decompositionalgorithmsextractvariousjittercomponents,asshowninthe followingfigure: Figure13.JitterComponentSupported...
One mentionable feature of the ClustPy package is the ability to run various modern deep clustering algorithms out of the box. For example, the following code runs the DEC algorithm on the Optdigits dataset. To evaluate the result, we compute the adjusted RAND index (ari). ...