5c94c8388d8e90398471707d40b941f4d53abd11,factor_analyzer/factor_analyzer.py,FactorAnalyzer,get_eigenvalues,#FactorAnalyzer#,823
Before Change
np.fill_diagonal(corr, communalities)
values, _ = sp.linalg.eig(corr)
values = np.real(values)
values = pd.DataFrame(sorted(values, reverse=True),
columns=["Common_Factor_Eigenvalues"])
return e_values, values
After Change
np.fill_diagonal(corr, communalities)
values, _ = sp.linalg.eigh(corr)
values = pd.DataFrame(values[::-1],
columns=["Common_Factor_Eigenvalues"])
return e_values, values
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: EducationalTestingService/factor_analyzer
Commit Name: 5c94c8388d8e90398471707d40b941f4d53abd11
Time: 2018-04-13
Author: jbiggs@ets.org
File Name: factor_analyzer/factor_analyzer.py
Class Name: FactorAnalyzer
Method Name: get_eigenvalues
Project Name: EducationalTestingService/factor_analyzer
Commit Name: 5c94c8388d8e90398471707d40b941f4d53abd11
Time: 2018-04-13
Author: jbiggs@ets.org
File Name: factor_analyzer/factor_analyzer.py
Class Name: FactorAnalyzer
Method Name: _normalize_wls
Project Name: EducationalTestingService/factor_analyzer
Commit Name: 5c94c8388d8e90398471707d40b941f4d53abd11
Time: 2018-04-13
Author: jbiggs@ets.org
File Name: factor_analyzer/factor_analyzer.py
Class Name: FactorAnalyzer
Method Name: _fit_uls_objective