def __init__()

in tensorflow_recommenders/layers/feature_interaction/dcn.py [0:0]

• 28 lines of code
• 2 McCabe index (conditional complexity)

  def __init__(
      self,
      projection_dim: Optional[int] = None,
      diag_scale: Optional[float] = 0.0,
      use_bias: bool = True,
      kernel_initializer: Union[
          Text, tf.keras.initializers.Initializer] = "truncated_normal",
      bias_initializer: Union[Text,
                              tf.keras.initializers.Initializer] = "zeros",
      kernel_regularizer: Union[Text, None,
                                tf.keras.regularizers.Regularizer] = None,
      bias_regularizer: Union[Text, None,
                              tf.keras.regularizers.Regularizer] = None,
      **kwargs):

    super(Cross, self).__init__(**kwargs)

    self._projection_dim = projection_dim
    self._diag_scale = diag_scale
    self._use_bias = use_bias
    self._kernel_initializer = tf.keras.initializers.get(kernel_initializer)
    self._bias_initializer = tf.keras.initializers.get(bias_initializer)
    self._kernel_regularizer = tf.keras.regularizers.get(kernel_regularizer)
    self._bias_regularizer = tf.keras.regularizers.get(bias_regularizer)
    self._input_dim = None

    self._supports_masking = True

    if self._diag_scale < 0:  # pytype: disable=unsupported-operands
      raise ValueError(
          "`diag_scale` should be non-negative. Got `diag_scale` = {}".format(
              self._diag_scale))