Search Results for "code metric"

Ganja.js is a Geometric Algebra code generator for javascript. It generates Clifford algebras and sub-algebras of any signature and implements operator overloading and algebraic constants. Mathematically, an algebra generated by ganja.js is a graded exterior (Grassmann) algebra (or one of its subalgebras) with a non-metric outer product, extended (Clifford) with geometric and contraction inner products, a Poincare duality operator and the main involutions and morphisms. ...

...Such tool is needed because a research simulation may generate a trace file with thousands of lines, becoming dificult to analyze manually. Due to this, this tool can be handy in case someone needs a metric that the tool already support. TraceMetrics is an opensource tool, developed in Java and the code can be found here. We encourage the users to report any bugs found in the tool, mailing us at tracemetrics (at) tracemetrics.net

This tool is made to score machine translation performance with the TER metric. This code is based on Snover's algorithm.

The program enables to get performance of C/C++ program and separated pieces of code for any metrics (for instance : time, memory, metrics defined by user etc.). The measurement results are represented in detailed/summary reports. Latest Version: 2.10

MetricKnn is an open source library to address the problem of similarity search, i.e., to efficiently locate objects that are close to each other according to some distance function. MetricKnn is comprised of: * Command Line, which is able to perform similarity searches through console commands. Available for Windows and Linux. * C API, which provides the implementation of different indexes, distances and search methods. * C++ API, which is a thin C++ wrapper of the C...

MSR Tools is a source code evolution analysis tool. It consists of a framework for mining software repositories and tools for metric calculation, visualization, defect prediction.

A code for fast multi-dimensional density estimation . Instead of assuming an a-priori metric definition, it calculates a locally adaptive metric for each data point by using, a Shannon Entropy based, binary space partitioning scheme.