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+op {
+ graph_op_name: "BoostedTreesCenterBias"
+ visibility: HIDDEN
+ in_arg {
+ name: "tree_ensemble_handle"
+ description: <<END
+Handle to the tree ensemble.
+END
+ }
+ in_arg {
+ name: "mean_gradients"
+ description: <<END
+A tensor with shape=[logits_dimension] with mean of gradients for a first node.
+END
+ }
+ in_arg {
+ name: "mean_hessians"
+ description: <<END
+A tensor with shape=[logits_dimension] mean of hessians for a first node.
+END
+ }
+in_arg {
+ name: "l1"
+ description: <<END
+l1 regularization factor on leaf weights, per instance based.
+END
+ }
+ in_arg {
+ name: "l2"
+ description: <<END
+l2 regularization factor on leaf weights, per instance based.
+END
+ }
+ out_arg {
+ name: "continue_centering"
+ description: <<END
+Bool, whether to continue bias centering.
+END
+ }
+ summary: "Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior. Returns a boolean indicating whether to continue centering."
+} \ No newline at end of file