nixtlar. See release notes hereWe are excited to announce the release of nixtlar
version 0.6.0, which integrates the latest
release of the TimeGPT API—v2. This update focuses on
what matters most to our users: speed, scalability, and reliability.
Key updates include:
Data Structures: nixtlar now
extends support to tibbles, in addition to the previously
supported data frames and tsibbles. This broadens the range of data
structures that can be used in your workflows.
Date Formats: For efficiency,
nixtlar now strictly requires dates to be in the format
YYYY-MM-DD or YYYY-MM-DD hh:mm:ss, either as
character strings or date-time objects. For more details, please refer
to our Get
Started guide and Data
Requirements vignette.
Default ID Column: In alignment with the Python
SDK, nixtlar now defaults the id_col to
unique_id. This means you no longer need to specify this
column if it is already named unique_id. If your dataset
contains only one series, simply set id_col=NULL. The
id_col only accepts characters or integers.
These changes leverage the capabilities of TimeGPT’s new
API and align nixtlar more closely with the Python SDK,
ensuring a better user experience. See release notes here
TimeGPT API—v2. See release notes
here