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Changed the stopping strategy for the optimization inside the
train_probabilistic_decision_function() because it could potentially never stop due to large rounding error when working with very large datasets. --HG-- extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403793
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@ -822,7 +822,7 @@ namespace dlib
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matrix<double,2,1> val;
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val = 0;
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find_min(newton_search_strategy(obj_hessian),
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gradient_norm_stop_strategy(),
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objective_delta_stop_strategy(),
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obj,
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obj_der,
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val,
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