Developed by Nixtla, TimeGPT is a cutting-edge generative pre-trained transformer model dedicated to prediction tasks. π By leveraging the most extensive dataset ever β financial, weather, energy, and sales data β TimeGPT brings unparalleled time-series analysis right to your terminal! π©βπ»π¨βπ»
In seconds, TimeGPT can discern complex patterns and predict future data points, transforming the landscape of data science and predictive analytics.
In addition to its core capabilities, TimeGPT supports fine-tuning, enhancing its specialization for specific prediction tasks. π― 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.
With Nixtla
, you can easily interact with TimeGPT through simple API calls, making the power of TimeGPT readily accessible in your projects.
Get Nixtla
up and running with a simple pip command:
pip install nixtla>=0.5.1
Get started with TimeGPT now:
df = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/electricity-short.csv')
from nixtla import NixtlaClient
nixtla_client = NixtlaClient(
# defaults to os.environ.get("NIXTLA_API_KEY")
api_key = 'my_api_key_provided_by_nixtla'
)
fcst_df = nixtla_client.forecast(df, h=24, level=[80, 90])