Open Source Software¶
Features of Predictive Learning / PrL Essentials Environments provided in the Analytics Workspace expose installed libraries through the Apache notebooks 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, when Python 3 environments start up, they 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. The open source resources code is available via the 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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