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Published inNov 2022
PublisherPackt
ISBN-139781803246802
Edition1st Edition
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Manu Joseph
Manu Joseph
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Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
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Hybrid strategies

The three strategies we have already covered are the three basic strategies for multi-step forecasting, each with its own merits and demerits. Over the years, researchers have tried to combine these into hybrid strategies that try to capture the good parts of all these strategies. Let’s go through a few of them here. This will not be a comprehensive list because there is none. Anyone with enough creativity can come up with alternate strategies, but we will just cover a few that have received some attention and deep study from the forecasting community.

DirRec Strategy

As the name suggests, the DirRec strategy is the combination of direct and recursive strategies for multi-step forecasting. First, let’s look at the following diagram:

Figure 17.5 – DirRec strategy for multi-step forecasting

Now, let’s see how these regimes work for the DirRec strategy.

Training regime

Similar to the direct strategy, the...

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Modern Time Series Forecasting with Python
Published in: Nov 2022Publisher: PacktISBN-13: 9781803246802

Author (1)

author image
Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
Read more about Manu Joseph