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https://issues.apache.org/jira/browse/SYSTEMML-855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Niketan Pansare updated SYSTEMML-855:
-------------------------------------
Description:
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
OR
Use pip installer.
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
diabetes = datasets.load_diabetes()
diabetes_X = diabetes.data[:, np.newaxis, 2]
diabetes_X_train = diabetes_X[:-20]
diabetes_X_test = diabetes_X[-20:]
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.
was:
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
diabetes = datasets.load_diabetes()
diabetes_X = diabetes.data[:, np.newaxis, 2]
diabetes_X_train = diabetes_X[:-20]
diabetes_X_test = diabetes_X[-20:]
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.
> 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
> OR
> Use pip installer.
> 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
> diabetes = datasets.load_diabetes()
> diabetes_X = diabetes.data[:, np.newaxis, 2]
> diabetes_X_train = diabetes_X[:-20]
> diabetes_X_test = diabetes_X[-20:]
> 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.
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