class_docstr: TCAV object: runs TCAV for one target and a set of concepts.
  The static methods (get_direction_dir_sign, compute_tcav_score,
  get_directional_dir) invole getting directional derivatives and calculating
  TCAV scores. These are static because they might be useful independently,
  for instance, if you are developing a new interpretability method using
  CAVs.
  See https://arxiv.org/abs/1711.11279
docstr: Enumerate parameters for the run function.
  
  Returns:
    parameters
docstr_tok: ["Enumerate","parameters","for","the","run","function",".","Returns",":","parameters"]
code: def get_params(self):
      """Enumerate parameters for the run function.
  
      Returns:
        parameters
      """
      params = []
      for bottleneck in self.bottlenecks:
          for target_in_test, concepts_in_test in self.pairs_to_test:
              for alpha in self.alphas:
                  tf.compat.v1.logging.info(
                      "%s %s %s %s",
                      bottleneck,
                      concepts_in_test,
                      target_in_test,
                      alpha,
                  )
                  params.append(
                      run_params.RunParams(
                          bottleneck,
                          concepts_in_test,
                          target_in_test,
                          self.activation_generator,
                          self.cav_dir,
                          alpha,
                          self.mymodel,
                      )
                  )
      return params
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from multiprocessing import dummy
  from six.moves import range
  from tcav.cav import CAV
  from tcav.cav import get_or_train_cav
  from tcav import run_params
  from tcav import utils
  import numpy
  import time
  import tensorflow
label_desc: Use image node_id 8 for calling the TCAV obj's underlying member method code with example usage: obj.get_params() and returns: params