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Data Requirements11 days ago
1. Input Requirements | 2. Multiple Series | 3. Exogenous Variables | 4. Missing values | 5. Minimum data requirements
Get Started11 days ago
1. Setting up your API key | a. Using the nixtla_client_setup function | b. Using an environment variable | Validate your API key | 2. Generate TimeGPT forecast | 3. Plot TimeGPT forecast
Setting Up Your API Key11 days ago
1. What is an API key? | 2. How can I get one? | 3. How do I set up my API key? | 3.1 Using the nixtlar::nixtla_client_setup function | 3.2 Using an environment variable | a. Using options | b. Using .Renviron | 4. Validate your API key (optional) | 5. Azure endpoints
Exogenous Variables1 years ago
1. Exogenous variables | 2. Load data | 3a. Forecasting electricity prices using historic and future exogenous variables | 3b. Forecasting electricity prices using only historic exogenous variables | 3c. Forecasting future exogenous variables | 3d. Forecasting electricity prices using both future and historic exogenous variables | 4. Plot TimeGPT forecast
TimeGEN-1 Quickstart (Azure)1 years ago
1. Set up a TimeGEN-1 endpoint account and generate your API key on Azure. | 2. Install nixtlar | 3. Set up the Base URL and API key | 4. Start making forecasts! | Discover the power of TimeGEN on Azure via nixtlar.
Fine-tuning2 years ago
1. Introduction | 2. Fine-tuning parameters | 3. Example | 4. Final recommendations
VN1 Forecasting Competition2 years ago
Introduction | TimeGPT 2nd Place Submission | Try It Yourself! | References
Anomaly Detection2 years ago
1. Anomaly detection | 2. Load data | 3. Detect Anomalies | 4. Plot anomalies
Cross-Validation2 years ago
1. Time series cross-validation | 2. Load data | 3. Perform time series cross-validation | 4. Plot cross-validation results
Historical Forecast2 years ago
1. TimeGPT Historical Forecast | 2. Load data | 3. Forecast historical data | 3.1 Fitted values from nixtlar::nixtla_client_forecast
Long-Horizon Forecasting2 years ago
1. Long-horizon forecasting | 2. Load data | 3. Forecast with a long-horizon | 4. Plot the long-horizon forecast | 5. Evaluate the long-horizon model
Prediction Intervals2 years ago
1. Uncertainty quantification via prediction intervals | 2. Load data | 3. Forecast with prediction intervals | 4. Plot prediction intervals
Quantile Forecasts2 years ago
1. Uncertainty quantification via quantiles | 2. Load data | 3. Forecast with quantiles | 4. Plot quantiles
Special Topics2 years ago
Special topics | 1. Handling missing values | 2. Specifying the frequency of your data