4c6bef01dc6d8b532dc230fb9bd1c51731dea907,autosklearn/metalearning/metalearning/kNearestDatasets/kND.py,KNearestDatasets,__init__,#KNearestDatasets#Any#Any#Any#,12
Before Change
class KNearestDatasets(object):
def __init__(self, metric="l1", random_state=None, metric_params=None):
self.logger = get_logger(__name__)
self.metric = metric
self.model = None
self.metric_params = metric_params
After Change
self.metafeatures = metafeatures
self.runs = runs
self.num_datasets = runs.shape[1]
// Fit the metafeatures for scaler
self.scaler.fit(self.metafeatures)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: automl/auto-sklearn
Commit Name: 4c6bef01dc6d8b532dc230fb9bd1c51731dea907
Time: 2020-12-17
Author: 44504424+franchuterivera@users.noreply.github.com
File Name: autosklearn/metalearning/metalearning/kNearestDatasets/kND.py
Class Name: KNearestDatasets
Method Name: __init__
Project Name: pfnet/optuna
Commit Name: e0313d5712d33a0b926f87c4c7237b7f4b6c19eb
Time: 2019-06-12
Author: phjgt308@gmail.com
File Name: optuna/integration/skopt.py
Class Name: SkoptSampler
Method Name: __init__
Project Name: PaddlePaddle/edl
Commit Name: 5c8cbacfd2531bc857ccff8b95b0cd7b37efc6b0
Time: 2020-05-07
Author: weibao.gong@gmail.com
File Name: python/paddle_edl/tests/unittests/test_data_server.py
Class Name:
Method Name: