code: def predict(self, X):
      pred = X.dot(np.asarray(self.weights))
      return 1 * (pred > 0.5)
  
file_path: fairlearn/test/unit/reductions/exponentiated_gradient/simple_learners.py
imports: import numpy
  import pandas
label_desc: Use image node_id 3 for calling the LeastSquaresBinaryClassifierLearner obj's underlying member method code with example usage: obj.predict(X) and returns: unknown