diff --git a/doc/ui/api/trainer_config_helpers/layers.html b/doc/ui/api/trainer_config_helpers/layers.html index d61c8d0a00a2bf23c53388a1417aebf45abeaa82..f6d045c9b8830892713d92fad4f310afd4902ec5 100644 --- a/doc/ui/api/trainer_config_helpers/layers.html +++ b/doc/ui/api/trainer_config_helpers/layers.html @@ -355,6 +355,7 @@ the right size (which is the end of array) to the left.
  • name (basestring) – layer name
  • a (LayerOutput) – Input layer a.
  • b (LayerOutput) – input layer b
  • +
  • layer_attr (ExtraLayerAttribute) – layer’s extra attribute.
  • @@ -1640,6 +1641,7 @@ convolution neural network, and before recurrent neural network.

  • padding_x (int) – The padding size in horizontal direction.
  • padding_y (int) – The padding size in vertical direction.
  • name (None|basestring.) – The name of this layer, which can not specify.
  • +
  • layer_attr (ExtraLayerAttribute|None) – Extra Layer config.
  • @@ -1798,6 +1800,7 @@ processed in one batch.

  • vectors (LayerOutput) – The vector layer.
  • size (int) – the dimension of this layer.
  • name (basestring) – The Layer Name.
  • +
  • layer_attr (ExtraLayerAttribute|None) – Extra Layer config.
  • @@ -1950,6 +1953,7 @@ element-wise. There is no activation and weight.

  • name (basestring) – The Layer Name.
  • slope (float.) – the scale factor.
  • intercept (float.) – the offset.
  • +
  • layer_attr (ExtraLayerAttribute|None) – Extra Layer config.
  • @@ -2145,6 +2149,7 @@ Sampling one id for one sample.

    Parameters: @@ -2181,6 +2186,7 @@ Sampling one id for one sample.

  • type (basestring.) – The type of cost.
  • name (None|basestring.) – The name of this layers. It is not necessary.
  • coeff (float.) – The coefficient affects the gradient in the backward.
  • +
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
  • @@ -2215,6 +2221,7 @@ Sampling one id for one sample.

  • name (None|basestring.) – The name of this layers. It is not necessary.
  • coeff (float.) – The coefficient affects the gradient in the backward.
  • softmax_selfnorm_alpha (float.) – The scale factor affects the cost.
  • +
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
  • @@ -2248,6 +2255,7 @@ Sampling one id for one sample.

  • type (basestring) – The type of cost.
  • name (None|basestring) – The name of this layers. It is not necessary.
  • coeff (float) – The coefficient affects the gradient in the backward.
  • +
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
  • @@ -2280,6 +2288,7 @@ Sampling one id for one sample.

  • label – The input label.
  • name (None|basestring.) – The name of this layers. It is not necessary.
  • coeff (float.) – The coefficient affects the gradient in the backward.
  • +
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
  • @@ -2325,6 +2334,7 @@ equal to NDCG_num. And if max_sort_size is greater than the size of a list, the algorithm will sort the entire list of get gradient.
  • name (None|basestring) – The name of this layers. It is not necessary.
  • +
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
  • @@ -2379,6 +2389,7 @@ Their dimension is one. It is an optional argument.
  • name (None|basestring) – The name of this layers. It is not necessary.
  • coeff (float) – The coefficient affects the gradient in the backward.
  • +
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
  • @@ -2418,6 +2429,7 @@ field model.

    optional argument.
  • param_attr (ParameterAttribute) – Parameter attribute. None means default attribute
  • name (None|basestring) – The name of this layers. It is not necessary.
  • +
  • layer_attr (ExtraLayerAttribute|None) – Extra Layer config.
  • @@ -2452,6 +2464,7 @@ decoding or 0 for correct decoding.

  • label (LayerOutput or None) – None or ground-truth label.
  • param_attr (ParameterAttribute) – Parameter attribute. None means default attribute
  • name (None|basestring) – The name of this layers. It is not necessary.
  • +
  • layer_attr (ExtraLayerAttribute|None) – Extra Layer config.
  • @@ -2502,6 +2515,7 @@ should also be num_classes + 1.

  • size (int) – category numbers + 1.
  • name (basestring|None) – The name of this layer
  • norm_by_times (bool) – Whether to normalization by times. False by default.
  • +
  • layer_attr (ExtraLayerAttribute|None) – Extra Layer config.