---
title: 'antispam:plugin:neuralnetwork'
url: 'https://docs.danami.com/warden/command-line-interface/antispam/antispam-plugin-neuralnetwork'
markdown: 'https://docs.danami.com/warden/command-line-interface/antispam/antispam-plugin-neuralnetwork.md'
date: '2026-09-22'
description: 'Log real-time per-rule statistics for each email, allowing admins to easily analyze rule performance and identify false positives/negatives. warden --task=antispam:plugin:neuralnetwork Option Value Default Description --neuralnetwork_data_dir <string> /etc/mail/spamassassin/.neuralnetwork…'
taxonomy:
  category:
    - docs
---

[](#)  [ Basics ](https://docs.danami.com/warden/)     [ Command Line Interface ](https://docs.danami.com/warden/command-line-interface)      Antispam       antispam:plugin:neuralnetwork    

# antispam:plugin:neuralnetwork

Log real-time per-rule statistics for each email, allowing admins to easily analyze rule performance and identify false positives/negatives.

```
warden --task=antispam:plugin:neuralnetwork
```

| Option | Value | Default | Description |
|---|---|---|---|
| `--neuralnetwork_data_dir` | <string> | /etc/mail/spamassassin/.neuralnetwork | Where the NeuralNetwork plugin will store its data. |
| `--neuralnetwork_min_text_len` | <digit> | 256 | The minimum number of characters of visible text required to run prediction or learning on a message. |
| `--neuralnetwork_min_word_len` | <digit> | 4 | The minimum token length considered when building the vocabulary and feature vectors. |
| `--neuralnetwork_max_word_len` | <digit> | 24 | The maximum token length considered when building the vocabulary and feature vectors. |
| `--neuralnetwork_vocab_cap` | <digit> | 10000 | The maximum number of vocabulary terms to retain; least-frequent terms are pruned when exceeded. |
| `--neuralnetwork_min_vocab_hits` | <digit> | 10 | The minimum number of tokens in the email that must exist in the vocabulary for prediction to run. |
| `--neuralnetwork_cache_ttl` | <digit> | 300 | The time-to-live in seconds for the in-memory vocabulary and model caches Set to 0 to disable caching. |
| `--neuralnetwork_min_spam_count` | <digit> | 100 | The minimum number of spam messages in the vocabulary required to enable prediction. |
| `--neuralnetwork_min_ham_count` | <digit> | 100 | The minimum number of ham messages in the vocabulary required to enable prediction. |
| `--neuralnetwork_spam_threshold` | <int> | 0.6 | Prediction values above this threshold are considered spam. |
| `--neuralnetwork_ham_threshold` | <int> | 0.4 | Prediction values below this threshold are considered ham. |
| `--neuralnetwork_learning_rate` | <int> | 0.1 | The learning rate used by the underlying FANN network during incremental training. |
| `--neuralnetwork_momentum` | <int> | 0.1 | The momentum used for training updates. |
| `--neuralnetwork_train_epochs` | <int> | 50 | The number of training epochs to perform when learning a single message. |
| `--neuralnetwork_train_algorithm` | <string> | FANN\_TRAIN\_RPROP | The algorithm used by Fann neural network used when training, might increase speed depending on the data volume. |
| `--neuralnetwork_lock_timeout` | <digit> | 10 | The maximum number of seconds to wait for the exclusive training lock before giving up and skipping the learn operation. Set to 0 to wait indefinitely. |
| `--neuralnetwork_stopwords` | <string> | the and for with that this from there their have be not but you your | A space-separated list of stopwords to ignore when tokenizing text. |
| `--neuralnetwork_autolearn` | <1\|0> | 0 | When SpamAssassin declares a message spam or ham during the message scan, and launches the auto-learn process, the message is autolearned as spam/ham in the same way as during the manual learning. |
| `--default` | <yes> |  | Reset all settings to their default values. |
| `--default_option` | <option> |  | Reset a specific setting to its default value. |
| `--reload` | <yes> |  | Reload the service after saving settings. |

## Examples

```
// set the neuralnetwork_autolearn
warden --task=antispam:plugin:neuralnetwork --neuralnetwork_autolearn=1 --reload=yes

// reset neuralnetwork_autolearn to its default value
warden --task=antispam:plugin:neuralnetwork --default_option=neuralnetwork_autolearn --reload=yes

// reset all settings to their default values
warden --task=antispam:plugin:neuralnetwork --default=yes --reload=yes
```

 [ ](https://docs.danami.com/warden/command-line-interface/antispam/antispam-plugin-fromenamespoof) [](https://docs.danami.com/warden/command-line-interface/antispam/antispam-plugin-olevbmacro)

---

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