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Time Series Forecasting
Introduction
Time Series Forecasting Settings
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Dataiku DSS
You are viewing the documentation for version
11
of DSS.
»
Machine learning
»
Time Series Forecasting
Time Series Forecasting
ΒΆ
Introduction
Prerequisites and limitations
Train a time series forecasting model
Time Series Forecasting Settings
Settings: General settings
Settings: Train / Test set
Settings: External features
Settings: Algorithms
Additional information
Runtime and GPU support
Code environment
Selection of GPU
Time Series Forecasting Results
Visualization
Performance: Metrics
Model Information: Algorithm
Scoring recipe
Without external features
With external features
Refitting for statistical models
Evaluation recipe
Input dataset
Output datasets
Refitting for statistical models