class_docstr: A plugin to visualize Fairness Indicators.
docstr: Determines whether this plugin is active.
  
  This plugin is only active if TensorBoard sampled any summaries
  relevant to the plugin.
  
  Returns:
    Whether this plugin is active.
docstr_tok: ["Determines","whether","this","plugin","is","active",".","This","plugin","is","only","active","if","TensorBoard","sampled","any","summaries","relevant","to","the","plugin",".","Returns",":","Whether","this","plugin","is","active","."]
code: def is_active(self):
      """Determines whether this plugin is active.
  
      This plugin is only active if TensorBoard sampled any summaries
      relevant to the plugin.
  
      Returns:
        Whether this plugin is active.
      """
      return bool(
          self._multiplexer.PluginRunToTagToContent(
              FairnessIndicatorsPlugin.plugin_name
          )
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import logging
  from tensorboard_plugin_fairness_indicators import metadata
  import six
  import tensorflow_model_analysis
  from tensorflow_model_analysis.addons.fairness.view import widget_view
  from werkzeug import wrappers
  from google.protobuf import json_format
  from tensorboard.backend import http_util
  from tensorboard.plugins import base_plugin
label_desc: Use image node_id 4 for calling the FairnessIndicatorsPlugin obj's underlying member method code with example usage: obj.is_active() and returns: bool