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\ wlucowgmyp9yas0q7ysdt base conversion docid\ kgb ej2 mfwafq2fpctoe change docid\ tetsh0bsu7efygx731pzy combination processor docid\ wc p54l1ji3r4vahptq8r conversion docid 0upgwnqxk sq1kwmekqve expressions docid\ uuxj q3wt01ux ukxhqcq feature extractor docid\ piuxvrnh5nrvv564 kgvy gaussian filter docid\ bz31fuqrhtkrhsycconmy inputs docid\ xlzgwfdh1fabsu7pqxmg0 join processor docid 9jzctmwnpvfipw6h6qe5v linear prediction docid hbd3ydzeiceqjy ixjdp moving window docid\ bwltu6colngs0oswk4vxs file reading processor docid 9gvldi fo8d9aecb4r6yy normalization docid 9uh6zcbfnnj3drxgy4fry rise and fall docid\ iziyj8ir9vvly1devylec rounding docid\ wecvyl2z8ngdu6azadrli signal decomposition docid 4hy1tuuwdsyihi0meovws simple window docid\ q1n8ouz1nw6fba3kembns statistical functions docid\ q1yxqwzgzhhlci3rrlto2 statistical prediction docid 2quwnor4zvhw12ym8ezqs switch docid\ t1h97z1 mn6ddsybs j2x tengo script docid\ up4gtzk0bdrnunzwg9lwy tensorflow images processor docid\ cnmz9ih0m9lmr1e3mqpfh tensorflow processor docid\ hnnbz hkhfedhtoqrhzkq xmr chart docid\ uzjb65gkayg00wjgcqqul