A library of transformers to support portable representations of AutoAI TimeSeries pipelines. For more information about how to use this package
see
README
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Security
No known security issues
4.0.13
(Latest)
Security and license risk for latest version
Release Date
Nov 12, 2024
Direct Vulnerabilities
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Indirect Vulnerabilities
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License Risk
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All security vulnerabilities belong to
production dependencies of direct and indirect
packages.
License
LICENSE INFORMATION The Programs listed below are licensed under the following License Information terms and conditions in addition to the Program license terms previously agreed to by Client and IBM. If Client does not have previously agreed to license terms in effect for the Program, the International License Agreement for Non-Warranted Programs (Z125-5589-05) applies. Program Name (Program Number): IBM Watson Machine Learning AutoAI-libs and AutoAI-TimeSeries-libs V1 (Tool) The following standard terms apply to Licensee's use of the Program. Limited use right With the exception of Bundled Programs, all IBM software provided to Licensee with the Program can only be used to support Licensee's use of the Principal Program under this License Information document, which means such use must be directly related to a licensed use of the Principal Program. Licensee is not authorized to use the Program to provide commercial IT services to any third party, to provide commercial hosting or timesharing, or to sublicense, rent, or lease the Program. Prohibited Uses Licensee may not use or authorize others to use the Program if failure of the Program could lead to death, bodily injury, or property or environmental damage. Redistributables The Program includes components that are Redistributable and they are listed below. Redistributables may be distributed, in object-code form, only as part of Licensee's value-added application that was developed using the Program ("Licensee's Application") and only to support use of Licensee's Application. If the Redistributables include a Java Runtime Environment, Licensee must also include other non-Java Redistributables with Licensee's Application. Licensee may not remove any copyright or notice files contained in the Redistributables or use IBM's, it's suppliers' or distributors' names or trademarks in connection with the marketing of Licensee's Application without IBM's or that supplier's or distributor's prior written consent. Licensee's license agreement with the end user must be at least as protective of IBM as the terms of this Agreement. IBM, its suppliers and distributors provide the Redistributables and related documentation without obligation of support and "AS IS", WITH NO WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING THE WARRANTY OF TITLE, NON-INFRINGEMENT OR NON-INTERFERENCE AND THE IMPLIED WARRANTIES AND CONDITIONS OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. The following are Redistributables: autoai_libs autoai_ts_libs In addition to the above, the following terms apply to Licensee's use of the Program. Limited Use Program This Program is supplied only for use with Named Program(s) identified below or their successors. Licensee is prohibited from using this Program in connection with any other software. Named Program(s): - IBM Cloud Pak for Data - IBM Watson Studio Local - IBM Watson Studio Desktop Subscription - IBM Watson Studio Premium for IBM Cloud Pak for Data - IBM Watson Machine Learning Server - IBM Watson Machine Learning Accelerator - IBM Watson OpenScale for IBM Cloud Pak for Data - IBM AI OpenScale for IBM Cloud Private - IBM AI OpenScale Server for IBM Cloud Private - IBM Cloud Pak for Data as a Service - IBM Watson Studio Paygo - IBM Watson Machine Learning Service - IBM Watson OpenScale License terms for the Named Program(s) are available at http://www-03.ibm.com/software/sla/sladb.nsf L/N: L-AMCU-BYY6S5 D/N: L-AMCU-BYY6S5 P/N: L-AMCU-BYY6S5
Security Policy
No
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Further analysis of the maintenance status of autoai-ts-libs based on
released PyPI versions cadence, the repository activity,
and other data points determined that its maintenance is
Healthy.
We found that autoai-ts-libs demonstrates a positive version release cadence
with at least one new version released in the past 3 months.
In the past month we didn't find any pull request activity or change in
issues status has been detected for the GitHub repository.
Community
Limited
Readme
Yes
Contributing.md
No
Code of Conduct
No
Contributors
0
Funding
No
This project has seen only 10 or less contributors.
