class_docstr: Rectified Linear Unit (ReLU) activation function.
class_docstr_tok: ["Rectified","Linear","Unit","(","ReLU",")","activation","function","."]
code: def apply(z):
      a = np.copy(z)
      a[a < 0] = 0
      return a
  
file_path: river/river/neural_net/activations.py
imports: from __future__ import annotations
  import abc
  import numpy
label_desc: Use image node_id 1 for calling the ReLU obj's underlying member method code with example usage: obj.apply(z) and returns: a