Niketan Pansare created SYSTEMML-855: ----------------------------------------
Summary: Add a "Get Started" tutorial for Python users Key: SYSTEMML-855 URL: https://issues.apache.org/jira/browse/SYSTEMML-855 Project: SystemML Issue Type: Task Reporter: Niketan Pansare As an example, this tutorial could have following sections: 1. Steps to start Python shell (or cloud service like datascientistworkbench) with SystemML support: wget https://raw.githubusercontent.com/apache/incubator-systemml/master/src/main/java/org/apache/sysml/api/python/SystemML.py wget https://sparktc.ibmcloud.com/repo/latest/SystemML.jar 2. Give context for one of the algorithm: For example: Linear regression. We can borrow the technical detail from http://apache.github.io/incubator-systemml/algorithms-regression.html#description 3. Explain steps to download data we will use and how to implement Linear regression DS using embedded Python DSL: https://github.com/apache/incubator-systemml/pull/197 ``` import numpy as np from sklearn import datasets # Load the diabetes dataset diabetes = datasets.load_diabetes() # Use only one feature diabetes_X = diabetes.data[:, np.newaxis, 2] # Split the data into training/testing sets diabetes_X_train = diabetes_X[:-20] diabetes_X_test = diabetes_X[-20:] # Split the targets into training/testing sets diabetes_y_train = diabetes.target[:-20] diabetes_y_test = diabetes.target[-20:] ``` 4. Explain how to use our algorithm instead: http://apache.github.io/incubator-systemml/algorithms-regression.html#examples 5. To explain tradeoffs of using NumPy or Scikit-Learn v/s SystemML's embedded DSL or SystemML's mllearn, increase the data size. For example: use twitter feed. -- This message was sent by Atlassian JIRA (v6.3.4#6332)