class_docstr: CAV class contains methods for concept activation vector (CAV).
  
  CAV represents semenatically meaningful vector directions in
  network's embeddings (bottlenecks).
class_docstr_tok: ["CAV","class","contains","methods","for","concept","activation","vector","(","CAV",")",".","CAV","represents","semenatically","meaningful","vector","directions","in","network","'s","embeddings","(","bottlenecks",")","."]
docstr: Get CAV direction.
  
  Args:
    concept: the conept of interest
  
  Returns:
    CAV vector.
docstr_tok: ["Get","CAV","direction",".","Args",":","concept",":","the","conept","of","interest","Returns",":","CAV","vector","."]
code: def get_direction(self, concept):
      """Get CAV direction.
  
      Args:
        concept: the conept of interest
  
      Returns:
        CAV vector.
      """
      return self.cavs[self.concepts.index(concept)]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os.path
  import pickle
  import numpy
  from six.moves import range
  from sklearn import linear_model
  from sklearn import metrics
  from sklearn.model_selection import train_test_split
  from tcav import utils
  import tensorflow
label_desc: Use image node_id 10 for calling the CAV obj's underlying member method code with example usage: obj.get_direction(concept) and returns: self