small fixes
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@@ -703,7 +703,7 @@ ground_truth_difference :-
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%= -Float
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%========================================================================
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mse_trainingset_only_for_linesearch(MSE) :-
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mse_trainingset_only_for_linesearch(MSE, FX) :-
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update_values,
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example_count(Example_Count),
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@@ -712,21 +712,8 @@ mse_trainingset_only_for_linesearch(MSE) :-
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forall(user:example(QueryID,_Query,QueryProb,Type),
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(
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once(update_query(QueryID,'.',probability)),
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query_probability(QueryID,CurrentProb),
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once(update_query_cleanup(QueryID)),
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(
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(Type == '='; (Type == '<', CurrentProb>QueryProb); (Type=='>',CurrentProb<QueryProb))
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->
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(
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bb_get(error_train_line_search,Old_Error),
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New_Error is Old_Error + (CurrentProb-QueryProb)**2,
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bb_put(error_train_line_search,New_Error)
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);true
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)
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)
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),
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bb_delete(error_train_line_search,Error),
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MSE is Error/Example_Count,
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),
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format_learning(3,' (~8f)~n',[MSE]),
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retractall(values_correct).
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@@ -842,7 +829,7 @@ set_tunable(I,Slope,P) :-
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% start calculate gradient
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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user:evaluate(LLH_Training_Queries, X,Grad,N,_,_) :-
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%Handle = user_error,
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example_count(TrainingExampleCount),
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@@ -984,7 +971,7 @@ user:progress(FX,X,_G,X_Norm,G_Norm,Step,_N,Iteration,Ls,0) :-
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NextIteration is CurrentIteration+1,
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assertz(current_iteration(NextIteration)),
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save_model,
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set_problog_flag(mse_trainset, FX),
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set_problog_flag(mse_trainingset, FX),
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X0 <== X[0], sigmoid(X0,Slope,P0),
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X1 <== X[1], sigmoid(X1,Slope,P1),
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format('~d. Iteration : (x0,x1)=(~4f,~4f) f(X)=~4f |X|=~4f |X\'|=~4f Step=~4f Ls=~4f~n',[Iteration,P0 ,P1,FX,X_Norm,G_Norm,Step,Ls]).
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