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import sklearn.datasets
from sklearn.metrics import classification as classification_metrics
dataset = sklearn.datasets.load_linnerud()
classification_metrics.type_of_target(dataset.target)
Returns multiclass-multioutput
instead continuous-multioutput
.
Similarly the following return multiclass
, but it should regression
.
import sklearn.datasets
from sklearn.metrics import classification as classification_metrics
dataset = sklearn.datasets.load_diabetes()
classification_metrics.type_of_target(dataset.target)
I think AutoSklearnClassifier
and AutoSklearnRegressor
should just be replaced with one, AutoModel
or something which simply tries to run both classifier and regressor and see what works better.