Nixtla SDK
Project description
Nixtla
![Slack](https://pypi-camo.freetls.fastly.net/54d85444bbda72dafbda789679b02264f11b0413/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f536c61636b2d3441313534423f266c6f676f3d736c61636b266c6f676f436f6c6f723d7768697465)
NixtlaTS
Forecast using TimeGPT
NixtlaTS offers a collection of classes and methods to interact with the API of TimeGPT.
Certainly, adding a bit of personality and visual appeal can make your README stand out. Here's a reworked version:
🕰️ TimeGPT: Revolutionizing Time-Series Analysis
Developed by Nixtla, TimeGPT is a cutting-edge generative pre-trained transformer model dedicated to prediction tasks. 🚀 By leveraging the most extensive dataset ever – financial, weather, energy, and sales data – TimeGPT brings unparalleled time-series analysis right to your terminal! 👩💻👨💻
In seconds, TimeGPT can discern complex patterns and predict future data points, transforming the landscape of data science and predictive analytics.
⚙️ Fine-Tuning: For Precision Prediction
In addition to its core capabilities, TimeGPT supports fine-tuning, enhancing its specialization for specific prediction tasks. 🎯 This feature is like training a machine learning model on a targeted data subset to improve its task-specific performance, making TimeGPT an even more versatile tool for your predictive needs.
🔄 NixtlaTS
: Your Gateway to TimeGPT
With NixtlaTS
, you can easily interact with TimeGPT through simple API calls, making the power of TimeGPT readily accessible in your projects.
💻 Installation
Get NixtlaTS
up and running with a simple pip command:
pip install nixtlats
🎈 Quick Start
Get started with TimeGPT now:
from nixtlats import TimeGPT
timegpt = TimeGPT(token=os.environ['TIMEGPT_TOKEN'], api_url=os.environ['TIMEGPT_API_URL'])
fcst_df = timegpt.forecast(df, h=24, freq='H', level=[80, 90])
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.