[Rspamd] Add neural module and define its scores
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rules {
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"LONG" {
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train {
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max_trains = 800;
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max_usages = 20;
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max_iterations = 25;
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learning_rate = 0.01,
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spam_score = 9;
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ham_score = -4;
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}
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symbol_spam = "NEURAL_SPAM_LONG";
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symbol_ham = "NEURAL_HAM_LONG";
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ann_expire = 100d;
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}
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"SHORT" {
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train {
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max_trains = 90;
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max_usages = 2;
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max_iterations = 25;
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learning_rate = 0.02,
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spam_score = 9;
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ham_score = -4;
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}
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symbol_spam = "NEURAL_SPAM_SHORT";
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symbol_ham = "NEURAL_HAM_SHORT";
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ann_expire = 7d;
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}
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}
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symbols = {
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"NEURAL_SPAM_LONG" {
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weight = 4.2; # sample weight
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description = "Neural network spam (long)";
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}
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"NEURAL_HAM_LONG" {
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weight = -4.0; # sample weight
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description = "Neural network ham (long)";
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}
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"NEURAL_SPAM_SHORT" {
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weight = 3.0; # sample weight
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description = "Neural network spam (short)";
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}
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"NEURAL_HAM_SHORT" {
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weight = -2.0; # sample weight
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description = "Neural network ham (short)";
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}
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}
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