Deep Forest: Augmenting Features With Class Vectors
Beginner
The problem, from first principles
Each Deep Forest layer receives the raw features together with the class vectors from the layer before, so the next forests can use the earlier layer's opinions as extra inputs.
From theory to code
Implement cascade_augment(X, class_vectors), which places the class vectors next to the original features.
Constraints
- Both inputs have the same number of rows.
Hints
Hint 1
Use np.hstack to join the two arrays column-wise.
Keywords
research-papersclassical-mlensemblesdeep-forest
Python
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