Support CascadeForestRegressor for univariate and multivariate regression

[xuyxu]

The forest model excels at the regression problem, and tends to have a much smaller variance than GBDTs. Therefore, it would be nice if deep forest could further support univariate and multivariate regression.

Related issue
#3

Possible steps on this feature request

• Include sklearn.RandomForestRegressor to sklearn.ExtraTreesRegressor in estimator.py
• Implement a cascade layer for regression in layer.py
• Implement the CascadeForestRegressor in cascade.py
• Evaluate the performance of CascadeForestRegressor
• Add unit tests on all related parts

[xuyxu]

Hi @morestart, I have created the issue on implementing deep forest regressor. Feel free to comment below if you need any help.

[morestart]

thanks for your reply, i will watch this repo~

[xuyxu]

Closed via issue #14. Hi @morestart, let me know if you have made any progress. Supporting regression will be our central target recently, and we are willing to have more people join in ;-)