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