Search Results for "lr"

xLearn is a high-performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM), all of which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data. Many real-world datasets deal with high dimensional sparse feature vectors like a recommendation system where the number of categories and users is on the order of millions. ...

Based on a folder with some chosen files, copy those same files, possibly with different types from an originals folder to a destination folder. This is useful if you have a set of photos where you have selected some, and maybe resized them, and now want to get those same files as Raw or the Original size JPG files.

The goal of this project is to create a simple and easy to use parser generator that will accept a textual grammar file as an input and output modularized classes representing a limited parser interface. Long term goals include a robust grammar file syntax, output suitable for multiple programming languages, and tools for better integrating compiler functionality, parse tree manipulation, and FSM based scanner generation.

The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.

LR(k) parser generator (k>=0) implementation.

lsfs -- parser from "ls -lR" to FUSE filesystem

CSP Canonical LR(1) Parser Generator. Includes lexer and parser generator. Supports all OS. Produces code as standard ANSI C++ w/ minimal STL and usable in commercial or non-commercial purposes.