When creating a tabular learner from a databunch, I get this error. If I try to declare emb_szs
manually, I still get the error. Is this a bug?
<ipython-input-13-00bbb564f593> in <module>
----> 1 learn = tabular_learner(data, layers=[200,100], metrics=accuracy)
~/.local/lib/python3.6/site-packages/fastai/tabular/data.py in tabular_learner(data, layers, emb_szs, metrics, ps, emb_drop, y_range, use_bn, **learn_kwargs)
172 ps:Collection[float]=None, emb_drop:float=0., y_range:OptRange=None, use_bn:bool=True, **learn_kwargs):
173 "Get a `Learner` using `data`, with `metrics`, including a `TabularModel` created using the remaining params."
--> 174 emb_szs = data.get_emb_szs(ifnone(emb_szs, {}))
175 model = TabularModel(emb_szs, len(data.cont_names), out_sz=data.c, layers=layers, ps=ps, emb_drop=emb_drop,
176 y_range=y_range, use_bn=use_bn)
~/.local/lib/python3.6/site-packages/fastai/data_block.py in _inner(*args, **kwargs)
470 assert isinstance(fv, Callable)
471 def _inner(*args, **kwargs):
--> 472 self.train = ft(*args, from_item_lists=True, **kwargs)
473 assert isinstance(self.train, LabelList)
474 kwargs['label_cls'] = self.train.y.__class__
TypeError: get_emb_szs() got an unexpected keyword argument 'from_item_lists```