Training data determines the prediction in a global model

In this sketched example, we have two training time series examples where there is a a hump immediately followed by another hump of varying size. The predicted data follows this same pattern.

Data

in•6mo

Training data determines the prediction in a global model

In this sketched example, we have two training time series examples where there is a a hump immediately followed by another hump of varying size. The predicted data follows this same pattern.

Data

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Size138KB

Extensionpng

MIME typeimage/png

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How this file is connected to other assets

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Exploring TimeGPT and the new forecasting paradigm it enables
Part 1 of an exploratory series on the TimeGPT model from Nixtla. We'll take a look at how the model works and how it changes the way we think about common forecasting problems.
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Training data determines the prediction in a global model

Training data determines the prediction in a global model

Connections

Exploring TimeGPT and the new forecasting paradigm it enables

Similar files

Pros and cons of different forecasting approaches

Profiling time series allows you to categorize your data into understandable buckets

Applying the KalmanSmoothing transformation to a time series with AutoTS