add neural config
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#https://github.com/rspamd/rspamd/issues/3099
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rules {
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"NEURAL_WEEK_1000" {
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train {
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max_trains = 1000;
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max_usages = 50;
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max_iterations = 25;
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learning_rate = 0.01,
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spam_score = 8;
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ham_score = -2;
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}
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symbol_spam = "NEURAL_WEEK_SPAM";
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symbol_ham = "NEURAL_WEEK_HAM";
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ann_expire = 300d;
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}
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"NEURAL_DAYS_200" {
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train {
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max_trains = 200;
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max_usages = 10;
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max_iterations = 25;
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learning_rate = 0.01,
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spam_score = 8;
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ham_score = -2;
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}
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symbol_spam = "NEURAL_DAYS_SPAM";
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symbol_ham = "NEURAL_DAYS_HAM";
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ann_expire = 100d;
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}
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"NEURAL_HALF_DAY_50" {
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train {
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max_trains = 50;
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max_usages = 4;
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max_iterations = 25;
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learning_rate = 0.01,
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spam_score = 8;
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ham_score = -2;
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}
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symbol_spam = "NEURAL_HALF_DAY_SPAM";
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symbol_ham = "NEURAL_HALF_DAY_HAM";
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ann_expire = 13d;
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}
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}
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symbols = {
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"NEURAL_WEEK_SPAM" {
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weight = 3.0; # sample weight
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description = "Neural network spam (long)";
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}
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"NEURAL_WEEK_HAM" {
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weight = -3.0; # sample weight
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description = "Neural network ham (long)";
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}
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"NEURAL_DAYS_SPAM" {
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weight = 2.5; # sample weight
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description = "Neural network spam (medium)";
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}
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"NEURAL_DAYS_HAM" {
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weight = -1.5; # sample weight
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description = "Neural network ham (medium)";
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}
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"NEURAL_HALF_DAY_SPAM" {
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weight = 2.0; # sample weight
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description = "Neural network spam (short)";
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}
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"NEURAL_HALF_DAY_HAM" {
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weight = -1.0; # sample weight
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description = "Neural network ham (short)";
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}
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}
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