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Features of MindSphere Predictive Learning / PrL Essentials

Environments provided in the Analytics Workspace expose installed libraries through the Apache Zeppelin and Jupyter Notebook developer tools. Predictive Learning continues to support Python 2 libraries to keep the old notebooks running, but we strongly encourage users to upgrade their scripts to Python 3. With upgraded scripts, the  when Python 3 environments start up, they will come with a minimal set of libraries, while users can continue to install their required libraries

For Python 2 environments, and in  accordance with to the GNU Lesser General Public License, this table displays the available libraries, and the open source resources code is available via their respective links:

Library Name Version Source Code
awscli 1.18.14 awscli
boto 2.49.0 boto
docutils 0.15.2 docutils
scikit-image 0.13.1 scikit-image
scikit-learn 0.19.1 scikit-learn
python36-sagemaker-pyspark 1.2.1 python36-sagemaker-pyspark
PyYAML 5.3.1 PyYAML
requests 2.24.0 requests

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Last update: March 25, 2022