scvi.autotune.TuneAnalysis#

class scvi.autotune.TuneAnalysis(model_kwargs, train_kwargs, metric, additional_metrics, search_space, results)[source]#

Dataclass for storing results from a tuning experiment.

Attributes table#

model_kwargs

train_kwargs

metric

additional_metrics

search_space

results

Methods table#

from_tuple()

get(k[,d])

items()

keys()

replace(**kwargs)

to_tuple()

values()

Attributes#

TuneAnalysis.model_kwargs: dict#
TuneAnalysis.train_kwargs: dict#
TuneAnalysis.metric: float#
TuneAnalysis.additional_metrics: dict#
TuneAnalysis.search_space: dict#
TuneAnalysis.results: Any#

Methods#

TuneAnalysis.from_tuple()[source]#
TuneAnalysis.get(k[, d]) → D[k] if k in D, else d.  d defaults to None.[source]#
TuneAnalysis.items() → a set-like object providing a view on D's items[source]#
TuneAnalysis.keys() → a set-like object providing a view on D's keys[source]#
TuneAnalysis.replace(**kwargs)[source]#
TuneAnalysis.to_tuple()[source]#
TuneAnalysis.values() → an object providing a view on D's values[source]#