New parameter added in order to replace negative predictions with 0

[mrtergl]

Sometimes, data series contain many values close to zero but are not expected to fall below zero. For example, a data frame with response times will likely have many near-zero values. In such cases, Prophet may produce yhat_lower or trend_lower metric values that are negative.

To address this issue, I have implemented a flag that sets all negative values to zero in the data frame. This flag can be configured when defining the model.

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[mrtergl]

This improvement can solve issue #2471

[mrtergl]

Hey @tcuongd , could you please review my pull request?

[donggu-kang]

I think this pull request is useful.

I am currently using Prophet for various purposes.
One of them is to predict traffic trends/detect anomalies.

I currently use it as a code to replace negative values ​​with 0 in the post-processing process.

Because even if I do not train Prophet with values ​​less than 0, there were cases where the prediction result was predicted as a negative number less than 0.

So I personally think this suggestion can be useful.