class_docstr: The log-logistic distribution.
class_docstr_tok: ["The","log-logistic","distribution","."]
code: def _mode(self):
      scale = tf.convert_to_tensor(self.scale)
      log_mode = self.loc + scale * (
          tf.math.log1p(-scale) - tf.math.log1p(scale)
      )
      return tf.where(
          scale > 1.0,
          tf.cast(0.0, dtype=self.dtype),
          tf.math.exp(log_mode),
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
label_desc: Use image node_id 7 for calling the LogLogistic obj's underlying member method code with example usage: obj._mode() and returns: tf