FPEPOSHI

@naiveHobo I have set different n_grams (e.g 8) but when I run prediction is extracting still maximum 4 n_grams(words). Do we need to change anything else somewhere or it's part...

Same issue reported here (https://github.com/phalcon/cphalcon/discussions/16028 )

Hi @Jeckerson, same here. We are stuck with the upgrade of our current version to v5.

Hi @Jeckerson, do we have any update about the issue reported?

I could but it will not help because there is no special code/sql for this entity, its same as all other 100+ entities we have. And that's the struggle because...

We user redis, same as in production server. Sure, here is an example: Sql: ``` create table if not exists some_table ( id integer default nextval('some_table_id_seq'::regclass) not null primary key,...

If I don't define `$id` like this: ``` /** * @Primary * @Identity * @Column(type='integer', nullable=false) * @var int */ protected $id; ``` another error will occur: `A primary key...

We don't use custom metadata strategy. As I said at the beginning, out of +100 models we have, only one has this issue.

Now I got it, we use this strategy: ``` $serializerFactory = new SerializerFactory(); $adapterFactory = new \Phalcon\Cache\AdapterFactory($serializerFactory); $options = [ 'defaultSerializer' => 'Igbinary', 'host' => $this->config->redis->host, 'port' => $this->config->redis->port, 'auth'...

But we don't want this, otherwise we would have to refactor all our models to this approach which we don't want to.