Following files contain exercise and solution for SFrame and Numpy Getting Started with SFrames.ipynb : Exercise program for turi GraphLab machine learning framwork SFrame guide.ipynb : Exercise program 2 for turi GraphLab machine learning framwork numpy-tutorial.ipynb : Numpy exercise
- The rest file can be disregarded !
Program is written in python 2.7, it one may need anaconda shoulde be installed(including numpy, scipy, pandas, matplotlib, jupyter) ( https://docs.continuum.io/anaconda/install ) or install python 2.7 and then install Numpy, Scipy, Pandas, matplotlib,jupyter manually as follows.
sudo pip install numpy scipy matplotlib After anaconda installed , one may need to jupyter run, by type in command line and hit the enter.
Then install GlaphLab
- install GraphLab Create from site https://turi.com/download/install-graphlab-create.html
jupyter notebook
and then upload and select ipynb file in web page.
Yoonsu Park - http://www.patternics.com Distributed under the MIT license. See LICENSE for more information( https://en.wikipedia.org/wiki/MIT_License ). https://github.com/blockchain99/SframeNumpy