From ca20734911f3647d4fb1e881efb23ec72ce9e856 Mon Sep 17 00:00:00 2001 From: MMenchero Date: Mon, 28 Oct 2024 16:11:17 -0600 Subject: [PATCH] update nixtlar version after patch --- DESCRIPTION | 2 +- README.md | 50 ++++++++++++++++++++++---------------------------- 2 files changed, 23 insertions(+), 29 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 5ab4bd7..2c05277 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: nixtlar Title: A Software Development Kit for 'Nixtla''s 'TimeGPT' -Version: 0.6.1 +Version: 0.6.2 Authors@R: c( person("Mariana", "Menchero", email = "mariana@nixtla.io", role = c("aut", "cre"), comment = "First author and maintainer"), person("Nixtla", role = "cph", comment = "Copyright held by 'Nixtla'") diff --git a/README.md b/README.md index ca8929a..9dc0b8f 100644 --- a/README.md +++ b/README.md @@ -14,39 +14,33 @@ status](https://www.r-pkg.org/badges/version/nixtlar)](https://CRAN.R-project.or [![License](https://img.shields.io/badge/License-Apache%202.0-blue)](https://www.apache.org/licenses/LICENSE-2.0) -## Version 0.6.1 of nixtlar is now available! (2024-10-07) +## Version 0.6.2 of nixtlar is now available! (2024-10-28) -We are excited to announce the release of `nixtlar` version 0.6.1, which -integrates the [latest -release](https://github.com/Nixtla/nixtla/releases/v0.6.1) of the -`TimeGPT` API—v2. This update focuses on what matters most to our users: -speed, scalability, and reliability. +We are happy to announce the release of `nixtlar` version 0.6.2, +introducing support for `TimeGEN-1`, `TimeGPT` optimized for Azure. **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](https://nixtla.github.io/nixtlar/articles/get-started.html) - guide and [Data - Requirements](https://nixtla.github.io/nixtlar/articles/data-requirements.html) +- **Azure Integration**: You can now use `TimeGEN-1`, a version of + `TimeGPT` optimized for the Azure infrastructure, directly through + `nixtlar`. Simply configure your API key and Base URL to get started. + For setup instructions, please check out our [Azure + Quickstart](https://nixtla.github.io/nixtlar/articles/azure-quickstart.html) 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. +- **Enhanced Date Support**: In response to user feedback, we’ve + improved support for date objects created with the `as.Date` function. + For optimal performance, `nixtlar` now requires dates in the format + `YYYY-MM-DD` or `YYYY-MM-DD hh:mm:ss`, either as characters or + date-objects, and this update resolves issues with the latter format. +- **Business-Day Frequency Inference**: `nixtlar` now supports inferring + business-day frequency, which users previously had to specify + directly. +- **Bug Fixes**: This version also includes fixes for minor bugs + reported by our users, ensuring overall stability and performance. + +Thank you for your continued support and feedback, which help us make +`nixtlar` better. We encourage you to update to the latest version to +take advantage of these improvements. # TimeGPT-1