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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."
}
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