Learner for tabular data



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from fastai.gen_doc.nbdoc import *
from fastai.tabular import *



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show_doc(tabular_learner)









    




tabular_learner[source][test]
tabular_learner(data:DataBunch, layers:Collection[int], emb_szs:Dict[str, int]=None, metrics=None, ps:Collection[float]=None, emb_drop:float=0.0, y_range:OptRange=None, use_bn:bool=True, **learn_kwargs)

×No tests found for tabular_learner. To contribute a test please refer to this guide and this discussion.
Get a Learner using data, with metrics, including a TabularModel created using the remaining params.

You can customize the automatic embeddings sizes picked by the library by passing a dictionary emb_szs to match categorical variable names with an embedding size. emb_drop, ps. y_range and use_bn are passed to TabularModel, the kwargs are passed to Learner. See tabular for an example of use.

Learner for tabular data

`tabular_learner`[source][test]

Undocumented Methods - Methods moved below this line will intentionally be hidden

New Methods - Please document or move to the undocumented section