Group required and optional parameters separately

doc/configuration/statistic.md

@@ -88,25 +88,29 @@ The classifier in Rspamd learns headers that are specifically defined in the `cl
 
 Supported parameters for the Redis backend are:
 
-- `name`: unique name of the classifier, must be set when multiple classifiers are defined, otherwise optional
-- `tokenizer`: currently only OSB is supported, must be set as shown in default configuration
-- `new_schema`: must be set to `true`
-- `backend`: must be set to `"redis"`
-- `learn_condition`: Lua function that verifies that learning is needed. Default function **must** be set if you have not written your own, omitting `learn_condition` from `statistic.conf` will lead to losing protection from overlearning
-- `servers`: IP or hostname with a port for the Redis server. Use an IP for the loopback interface, if you have defined localhost in /etc/hosts for IPv4 and IPv6, or your Redis server will not be found!
-- `write_servers` (optional): for write-only Redis servers (usually masters)
-- `read_servers` (optional): for read-only Redis servers (usually replicas)
-- `password` (optional): password for the Redis server
-- `db` (optional): database to use, **must be a non-negative integer** (though it is recommended to use dedicated Redis instances and not databases in Redis)
-- `min_tokens`: minimum number of words required for statistics processing
-- `min_learns` (optional): minimum learn to count for **both** spam and ham classes to perform classification
-- `autolearn` (optional): for more details see Autolearning section
-- `per_user` (optional): for more details see Per-user statistics section
-- `statfile`: defines keys for spam and ham mails
-- `cache_prefix` (optional): prefix used to create keys where to store hashes of already learned ids, defaults to `"learned_ids"`
-- `cache_max_elt` (optional): amount of elements to store in one `learned_ids` key
-- `cache_max_keys` (optional): amount of `learned_ids` keys to store
-- `cache_elt_len` (optional): length of hash to store in one element of `learned_ids`
+### Required parameters
+- `name`: Unique name of the classifier. Must be set when multiple classifiers are defined; otherwise, optional.
+- `tokenizer`: Currently, only OSB is supported. Must be set as shown in the default configuration.
+- `new_schema`: Must be set to `true`.
+- `backend`: Must be set to `"redis"`.
+- `learn_condition`: Lua function that verifies that learning is needed. The default function **must** be set if you have not written your own. Omitting `learn_condition` from `statistic.conf` will lead to losing protection from overlearning.
+- `servers`: IP or hostname with a port for the Redis server. Use an IP for the loopback interface if you have defined localhost in /etc/hosts for IPv4 and IPv6, or your Redis server will not be found!
+- `min_tokens`: Minimum number of words required for statistics processing.
+- `statfile`: Defines keys for spam and ham mails.
+
+### Optional parameters
+- `write_servers`: For write-only Redis servers (usually masters).
+- `read_servers`: For read-only Redis servers (usually replicas).
+- `password`: Password for the Redis server.
+- `db`: Database to use, **must be a non-negative integer** (though it is recommended to use dedicated Redis instances and not databases in Redis).
+- `min_learns`: Minimum learn to count for **both** spam and ham classes to perform classification.
+- `autolearn`: For more details, see the Autolearning section.
+- `per_user`: For more details, see the Per-user statistics section.
+- `cache_prefix`: Prefix used to create keys where to store hashes of already learned IDs, defaults to `"learned_ids"`.
+- `cache_max_elt`: Amount of elements to store in one `learned_ids` key.
+- `cache_max_keys`: Amount of `learned_ids` keys to store.
+- `cache_elt_len`: Length of hash to store in one element of `learned_ids`.
+
 
 ## Autolearning