bhavinthaker commented on a change in pull request #7921: Add three sparse tutorials URL: https://github.com/apache/incubator-mxnet/pull/7921#discussion_r140676677
########## File path: docs/tutorials/sparse/train.md ########## @@ -0,0 +1,256 @@ + +# Train a Linear Regression Model with Sparse Symbols +In previous tutorials, we introduced `CSRNDArray` and `RowSparseNDArray`, +the basic data structures for manipulating sparse data. +MXNet also provides `Sparse Symbol` API, which enables symbolic expressions that handle sparse arrays. +In this tutorial, we first focus on how to compose a symbolic graph with sparse operators, +then train a linear regression model using sparse symbols with the Module API. + +## Prerequisites + +To complete this tutorial, we need: + +- MXNet. See the instructions for your operating system in [Setup and Installation](http://mxnet.io/get_started/install.html). + +- [Jupyter Notebook](http://jupyter.org/index.html) and [Python Requests](http://docs.python-requests.org/en/master/) packages. +``` +pip install jupyter requests +``` + +- Basic knowledge of Symbol in MXNet. See the detailed tutorial for Symbol in [Symbol - Neural network graphs and auto-differentiation](https://mxnet.incubator.apache.org/tutorials/basic/symbol.html). + +- Basic knowledge of CSRNDArray in MXNet. See the detailed tutorial for CSRNDArray in [TODO(haibin) Add Link Here](http://ec2-54-187-32-207.us-west-2.compute.amazonaws.com/tutorials/sparse/csr.html). + +- Basic knowledge of RowSparseNDArray in MXNet. See the detailed tutorial for RowSparseNDArray in [TODO(haibin) Add Link Here](http://ec2-54-187-32-207.us-west-2.compute.amazonaws.com/tutorials/sparse/rowsparse.html). + +## Variables + +Variables are placeholder for arrays. We can use them to hold sparse arrays, too. Review comment: Remove the comma between arrays and too. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
