8000 Minor edits by copybara-service[bot] · Pull Request #1000 · google/vizier · GitHub
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Minor edits #1000

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copybara-service merged 1 commit into from
Nov 29, 2023
8000
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Minor edits #1000

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8 changes: 5 additions & 3 deletions vizier/pyvizier/converters/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1203,7 +1203,9 @@ def from_study_configs(
)

@classmethod
def from_study_config(cls, study_config: pyvizier.ProblemStatement):
def from_study_config(
cls, study_config: pyvizier.ProblemStatement
) -> 'DefaultTrialConverter':
return cls.from_study_configs(
[study_config],
study_config.metric_information,
Expand Down Expand Up @@ -1234,7 +1236,7 @@ def to_features(self, trials) -> np.ndarray:
return dict_to_array(self._impl.to_features(trials))

def to_labels(self, trials) -> np.ndarray:
"""Returns the labels array with dimenion: (n_trials, n_metrics)."""
"""Returns the labels array with dimension: (n_trials, n_metrics)."""
# Pad up the labels.
return dict_to_array(self._impl.to_labels(trials))

Expand All @@ -1243,7 +1245,7 @@ def to_xy(self, trials) -> Tuple[np.ndarray, np.ndarray]:

def to_parameters(self, arr: np.ndarray) -> Sequence[pyvizier.ParameterDict]:
"""Convert to nearest feasible parameter value. NaNs are preserved."""
# TODO: Add a boolean flag to diable automatic clipping.
# TODO: Add a boolean flag to disable automatic clipping.
arrformat = DictOf2DArrays(self._impl.to_features([]))
return self._impl.to_parameters(arrformat.dict_like(arr))

Expand Down
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