Examples of using C++ libraries for creating ensembles

The following sections will show how to use ensembles within the Shogun and Shark-ML libraries. There are out-of-the-box implementations of random forest and gradient boosting algorithms in these libraries; we will show how to use their application programming interface (API) to work with these algorithms. Also, we will implement a stacking ensemble technique from scratch, using primitives from the Shark-ML library.

Ensembles with Shogun

There are gradient boosting and random forest algorithm implementations in the Shogun library, and the following sections will show the specific API for using them in practice.

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