ncvis 1.3

Noise contrastive data visualization

ncvis

NCVis is an efficient solution for data visualization. It uses HNSW for fast nearest neighbors graph construction and a parallel approach for building the graph embedding.

Installation

Conda [recommended]

You do not need to setup the environment if using conda, all dependencies are installed automatically.

$ conda install -c alartum ncvis 

Pip

Important: be sure to have a compiler with OpenMP support. GCC has it by default, wich is not the case with clang. You may need to install llvm-openmp library beforehand.

1. Install numpy and cython packages (compile-time dependencies):

   $ pip install numpy cython
   

2. Install ncvis package:

   $ pip install ncvis
   

From source

1. Install numpy and cython packages (compile-time dependencies):

   $ pip install numpy cython
   

2. Use Makefile, it will call pip for you

   $ make wrapper
   

Using

import ncvis

vis = ncvis.NCVis()
Y = vis.fit_transform(X)

A more detailed example can be found here.