Nixtla 
Nixtla
Forecast using TimeGPT
Nixtla offers a collection of classes and methods to interact with the API of TimeGPT.
🕰️ 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.
🔄 Nixtla: Your Gateway to TimeGPT
With Nixtla, you can easily interact with TimeGPT through simple API calls, making the power of TimeGPT readily accessible in your projects.
💻 Installation
Get Nixtla up and running with a simple pip command:
pip install nixtla>=0.4.0
🎈 Quick Start
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])
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Metadata
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Release files for nixtla 0.5.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| nixtla-0.5.0.tar.gz | 57.0 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nixtla-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 128.4 kB
Release files / nixtla-0.5.0.tar.gz
| Download URL | nixtla-0.5.0.tar.gz |
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| Size | 57.0 kB |
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| Size | 71.4 kB |
| Tags | Python 3 |
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