Logistic Growth

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
machine-learning

Research direction

Start by tracing the logistic option exposed through global_trend_option and compare its current behavior with Prophet's saturating forecasts documentation. Define how a maximum carrying capacity should be supplied and used, then verify that the model's estimates respect that saturation behavior.

Written by the indexing model from the issue text.

Description

good question for new comers

First of all, this is a great library. Well done!

I have a question:

I see that orbit has a logistic option for "global_trend_option". How would I let the model know that there is a maximum carrying capacity or saturation point for the estimate? Something along this line is implemented in Facebook Prophet: https://facebook.github.io/prophet/docs/saturating_forecasts.html .

Dominant language
Python
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