Analytics

you can use the analytics module to create and manage analytics flows analytics flows enable you to process and analyze data at the edge a flow includes a series of connected processors, using at least one of the following types input retrieves data from a tag, database, or generator see docid\ dxduihysis3fvi6zjtaxa for details function processes the input data using built in kpis (key performance indicators) see docid\ gjyou3wakapt7wqgogb3a for details statistical functions see docid\ hy0dms34ebfafrtjcfbls for details output writes the function results to a tag or stdout see docid\ gb n30pprvdwuyqcwq gl for details see docid\ kpxn 8iny0fpdr56gcxgy and docid 2iq ssd ppuyigiugwcfw to learn more review docid\ mpfsn1bha9i4pth5ta5ow important you may see the following error message when working with analytics "http failure response for /analytics/v2/version 0 unknown error" if you see this message, disable any ad blockers your browser may have you can build a flow manually by adding instances and then connecting them with one of the following connection types events (individual data source) used only for both input/function and function/output connections makes the receiving processor react to each individual data value immediately values (combined data sources) used only for input/function connections makes the function processor wait for values from all of the combined data sources before reacting for example, if the function processor compares values from input processors a and b, it will wait for a value from both a and b before performing the comparison you can also add a flow in a more automated way see docid\ kpxn 8iny0fpdr56gcxgy for details the analytics module also enables you to use machine learning models for prediction, classification, and anomaly detection you can create and save a model from https //www tensorflow\ org/guide/saved model a saved model contains a complete tensorflow program, including weights and computation the analytics ui includes the following panes instances , where you can create and manage processors and flows view the debug panel organize your flows into groups instances table , where you get tabular view of instance flows created models , where you upload and remove models access analytics ui to access analytics log in to belden horizon data operations from the navigation panel, select analytics the analytics canvas appears next steps docid\ mpfsn1bha9i4pth5ta5ow docid 1cqurymvr4b9k ygtstyv docid 12911oettqiog5t y1qcq docid 5rey4qf1cpfpnaq65u hx docid\ lop kx5xnjkdnuoqpxr4e docid\ dxduihysis3fvi6zjtaxa docid\ gb n30pprvdwuyqcwq gl docid\ hy0dms34ebfafrtjcfbls docid\ gjyou3wakapt7wqgogb3a