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timegpt
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🚀 GETTING STARTED
About TimeGPT
TimeGPT Quickstart
TimeGPT Quickstart (Polars)
TimeGEN-1 Quickstart (Azure)
Setting up your API key
TimeGPT Subscription Plans
Data Requirements
FAQ
Glossary
Why TimeGPT?
Changelog
⚙️ CAPABILITIES
Forecast
Quickstart
Add exogenous variables
Add holidays and special dates
Add categorical variables
Long-horizon forecasting
Multiple series forecasting
Fine-tuning
Finetuning with a custom loss function
Cross validation
Predictions intervals
Irregular timestamps
Historical anomaly detection
Quickstart
Add exogenous variables
Add date features
Add confidence levels
Online (Real-Time) Anomaly Detection
Introduction to Online (Real-Time) Anomaly Detection
Adjusting the Anomaly Detection Process
Univariate vs. Multivariate Anomaly Detection
🤖 DEPLOYMENT
AzureAI
📚 TUTORIALS
Anomaly detection
Exogenous variables
Holidays and special dates
Categorical variables
SHAP Values for TimeGPT and TimeGEN
Training
Long-horizon forecasting
Multiple series forecasting
Fine-tuning
Re-using fine-tuned models
Fine-tuning with a specific loss function
Controlling the level of fine-tuning
Validation
Cross-validation
Historical forecast
Uncertainty quantification
Quantile forecasts
Prediction intervals
Special topics
Bounded forecasts
Hierarchical forecasting
Temporal Hierarchical Forecasting with TimeGPT
Missing Values
Improve Forecast Accuracy with TimeGPT
Computing at scale
Spark
Dask
Ray
🏗️ USE CASES
Forecasting web traffic
Bitcoin price prediction
Forecasting Energy Demand
Forecasting Intermittent Demand
What if? Forecasting price effects in retail
🔎 REFERENCE
SDK Reference
Date Features
TimeGPT Excel Add-in (Beta)
TimeGPT in R
About
Key Concepts
Nixtla
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