class_docstr: A plugin to visualize Fairness Indicators.
docstr: Instantiates plugin via TensorBoard core.
  
  Args:
    context: A base_plugin.TBContext instance. A magic container that
      TensorBoard uses to make objects available to the plugin.
docstr_tok: ["Instantiates","plugin","via","TensorBoard","core",".","Args",":","context",":","A","base_plugin.TBContext","instance",".","A","magic","container","that","TensorBoard","uses","to","make","objects","available","to","the","plugin","."]
code: def __init__(self, context):
      """Instantiates plugin via TensorBoard core.
  
      Args:
        context: A base_plugin.TBContext instance. A magic container that
          TensorBoard uses to make objects available to the plugin.
      """
      self._multiplexer = context.multiplexer
  
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 1 to create a new FairnessIndicatorsPlugin object from inherited base classes: base_plugin with example: obj = FairnessIndicatorsPlugin(context)