digraph "Graphical Class Hierarchy"
{
  edge [fontname="Helvetica",fontsize="10",labelfontname="Helvetica",labelfontsize="10"];
  node [fontname="Helvetica",fontsize="10",shape=record];
  rankdir="LR";
  Node0 [label="singa::Loss",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classsinga_1_1Loss.html",tooltip="The base loss class, which declares the APIs for computing the objective score (loss) for a pair of p..."];
  Node0 -> Node1 [dir="back",color="midnightblue",fontsize="10",style="solid",fontname="Helvetica"];
  Node1 [label="singa::MSE",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classsinga_1_1MSE.html",tooltip="MSE is for mean squared error or squared euclidean distance. "];
  Node0 -> Node2 [dir="back",color="midnightblue",fontsize="10",style="solid",fontname="Helvetica"];
  Node2 [label="singa::SoftmaxCrossEntropy",height=0.2,width=0.4,color="black", fillcolor="white", style="filled",URL="$classsinga_1_1SoftmaxCrossEntropy.html",tooltip="Softmax + cross entropy for multi-category classification. "];
}