class_docstr: The Linear Discriminant Analysis classifier, also known as Fisher's linear discriminant.
  Can besides from classification also be used to reduce the dimensionaly of the dataset.
code: def predict(self, X):
      y_pred = []
      for sample in X:
          h = sample.dot(self.w)
          y = 1 * (h < 0)
          y_pred.append(y)
      return y_pred
  
file_path: BentoML/examples/custom_python_model/lda_classifier/lda.py
imports: from __future__ import division
  from __future__ import print_function
  import numpy
label_desc: Use image node_id 4 for calling the LDA obj's underlying member method code with example usage: obj.predict(X) and returns: y_pred