Statistical Functions

the analytics module makes use of built in statistical functions to process the input data this section describes the currently available statistical functions anomaly detection docid\ odiwlcru 5alzjso4m0 r base conversion docid 8593vlknqc q7jem1pgwc combination processor docid\ l7xmsopmjdrgmh l748 g conversion docid\ cyyjqksi zp9abytdt1lq expression docid\ kuei0zoyvl0d48u49l1k7 feature extractor docid\ ec0rzjb2hlpvvd6l8sza5 gaussian filter docid\ hqgcypxlqi6a2igaqqf0h input processors docid\ su8qof2fegkuclaqhy6lb join processor docid\ ksft2fdnemm2iceiycmyq linear prediction docid\ sbjpxbutuhkky2wstvvzj moving window docid\ upebaxhr9msr40v9fnmil normalization docid 1mmutczxjdzswn2pdywo2 rise and fall docid\ urxd ut jc6bykxph gpi rounding docid\ fhfvh zfhpyf0t5oojx4 signal decomposition docid\ o9y7wk3hzndkl0csdj0oz simple window docid\ zwaidddotecqrobmv1 e2 statistical functions docid\ j9ven1yfhtruo7xacf4mx statistical prediction docid\ uy3utrczpy3oicz1rd5io tengo script docid\ rhupxooltmwy8quv8lutc tensorflow images processor docid 44xpmpyhvgub0pel2gyc4 tensorflow processor docid\ b70esv8vdze3 ctjqlhxa xmr chart docid 2iurggpmbkxdv5fn4ezcg