Viktor Scherbakov

> Hi @fabiocapsouza, I'm experimenting with different ways of subword handling for CRF layer. Why have you chosen to just take first subtoken? Wouldn't some sort of pooling of subword...

```python classifier = AutoSklearn2Classifier( time_left_for_this_task=15 * 60, per_run_time_limit=30, memory_limit=None, n_jobs=1, max_models_on_disc=10, ensemble_size=10 ).fit(preprocessor.transform(train_x), train_y, preprocessor.transform(valid_x), valid_y) ``` There is an internal check that prohibits running without memory limit: ``` [ERROR]...

Wanted to add some context for potential discussion. My use-case is training NER on multiple datasets with non-matching entity type sets (for example, OntoNotes + CoNLL 2003). I use architecture...

I get an error that MPS device does not support 64-bit floats