1cee8b3b7b1b9b16afb7f5d6f12af2ca08907ee5,skopt/utils.py,,normalize_dimensions,#Any#,571
Before Change
transformed_dimensions = []
for dimension in space.dimensions:
if isinstance(dimension, Categorical):
transformed_dimensions.append(Categorical(dimension.categories,
dimension.prior,
name=dimension.name,
transform="normalize"))
// To make sure that GP operates in the [0, 1] space
elif isinstance(dimension, Real):
transformed_dimensions.append(
Real(dimension.low, dimension.high, dimension.prior,
After Change
if isinstance(dimension, Dimension):
// Change the transformer to normalize
// and add it to the new transformed dimensions
dimension.set_transformer("normalize")
transformed_dimensions.append(
dimension
)
else:
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances Project Name: scikit-optimize/scikit-optimize
Commit Name: 1cee8b3b7b1b9b16afb7f5d6f12af2ca08907ee5
Time: 2020-07-07
Author: georgesid95@gmail.com
File Name: skopt/utils.py
Class Name:
Method Name: normalize_dimensions
Project Name: scikit-optimize/scikit-optimize
Commit Name: ddca7f56ce7a154c2284d6464cf872a1f4992f3d
Time: 2020-02-20
Author: holgernahrstaedt@gmx.de
File Name: examples/sampler/initial-sampling-method.py
Class Name:
Method Name:
Project Name: scikit-optimize/scikit-optimize
Commit Name: ddca7f56ce7a154c2284d6464cf872a1f4992f3d
Time: 2020-02-20
Author: holgernahrstaedt@gmx.de
File Name: examples/sampler/initial-sampling-method-integer.py
Class Name:
Method Name: