Key Feature Additions and Changes - Teradata Python Package

Teradata® Python Package User Guide

Product
Teradata Python Package
Release Number
16.20
Published
February 2020
Language
English (United States)
Last Update
2020-02-29
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B700-4006
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Product Category
Teradata Vantage

The following table lists the key feature additions and changes in the Teradata Python Package, teradataml.

Date Release Description
February 2020 16.20.00.05 Vantage 1.1 Machine Learning Engine Analytic Functions compatibility updates.
January 2020 16.20.00.04
  • Faster Data Load using FastLoad feature;
  • New Analytic Functions (NER, GLML1L2);
  • New functionality to process Time Series Data;
  • Added support to create DataFrame from Volatile and Primary Time Index tables;
  • Removed deprecated analytic functions;
  • Reduced use of database Views and improved performance.
August 2019 16.20.00.03
  • Vantage 1.1 compatibility updates;
  • New arguments to several analytic functions matching Vantage 1.1.
July 2019 16.20.00.02
  • Case handling of Vantage column names;
  • Dropped support for Python 3.4.3, the minimum supported Python version is 3.5;
  • New analytic functions;
  • New DataFrame methods, Series methods, and Context functions.
January 2019 16.20.00.01
  • Support for Linux distributions:
    • Red Hat 7.1 or later
    • Ubuntu 16.04 or later
    • CentOS 7.0 or later
    • SLES 12 or later
  • The analytic functions are organized into either of these two subpackages:
    • teradataml.analytics.mle
    • teradataml.analytics.sqle
  • New analytic functions, DataFrame methods and Series methods for NA checking.
September 2018 16.20.00.00 Initial release.