a60c0d90de304b8d2768da0e2110527edea96910,methods/shogun/linear_ridge_regression.py,LinearRidgeRegression,RunMetrics,#LinearRidgeRegression#Any#,108
Before Change
X, y = SplitTrainData(self.dataset)
tau = re.search("-t (\d+)", options)
tau = 1.0 if not tau else int(tau.group(1))
model = LRR(tau, RealFeatures(X.T), RegressionLabels(y))
model.train()
testData = LoadDataset(self.dataset[1])
After Change
raise Exception("missing parameter")
if len(options) > 0:
Log.Fatal("Unknown parameters: " + str(options) )
raise Exception("unknown parameters")
model = LRR(tau, RealFeatures(X.T), RegressionLabels(y))
model.train()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: mlpack/benchmarks
Commit Name: a60c0d90de304b8d2768da0e2110527edea96910
Time: 2017-06-29
Author: ryan@ratml.org
File Name: methods/shogun/linear_ridge_regression.py
Class Name: LinearRidgeRegression
Method Name: RunMetrics
Project Name: nerox8664/pytorch2keras
Commit Name: 198d7eee040d0eb3c5183cdf50a6350db53a5623
Time: 2019-01-29
Author: nerox8664@gmail.com
File Name: pytorch2keras/converter.py
Class Name:
Method Name: get_leaf_id
Project Name: mlpack/benchmarks
Commit Name: a60c0d90de304b8d2768da0e2110527edea96910
Time: 2017-06-29
Author: ryan@ratml.org
File Name: methods/scikit/linear_ridge_regression.py
Class Name: LinearRidgeRegression
Method Name: RunMetrics