Search Results for "river"

...InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data. InLong (应龙) is a divine beast in Chinese mythology who guides the river into the sea, and it is regarded as a metaphor of the InLong system for reporting data streams. InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats.

Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat suitability in various discharge scenarios in a simulated river reach. It comes with no graphical user interface but it's a one-click tool. Just provide your input and let HABFUZZ provide you the output. The HABFUZZ manual https://github.com/chtheodoro/habfuzz/blob/master/HABFUZZ_v2.5_manual.pdf HABFUZZ in the Journal of Open Source Software http://joss.theoj.org/papers/1ad27db8f0976c28a75e20d34eba5ee2 HABFUZZ website https://chtheodoro.wixsite.com/habfuzz

Elasticsearch River NSQ binaries

This is a collection of utilities and other nifty code items developed by Thought River for use in internal projects, and made available here for public use.