"classif.kerascnn" Feature Types Errors

[MinWLi]

Description

Hi, I was confused with when using "classif.kerascnn" method the "Feature Types" is "-". And the error is not supporting numeric feature type when training the learner.

The following is a demonstration：

Reproducible example

> lrn = lrn("classif.kerascnn")
> lrn
<LearnerClassifKeras:classif.keras>
* Model: -
* Parameters: epochs=100, callbacks=<list>, validation_split=0.3333,
  batch_size=128, low_memory=FALSE, verbose=0, application=<function>,
  optimizer=<keras.optimizer_v2.adam.Adam>, loss=categorical_crossentropy,
  metrics=accuracy, cl_layer_units=1024, output_activation=softmax,
  unfreeze_n_last_layers=5, validation_fraction=0.2
* Packages: mlr3, keras
* Predict Types:  [response], prob
* Feature Types: -
* Properties: multiclass, twoclass
>lrn$train(tsk("iris"))
Error: <TaskClassif:iris> has the following unsupported feature types: numeric