{"push_id":2852888175,"size":2,"distinct_size":2,"ref":"refs/heads/master","head":"96609729fdfa1db97a0f39beb28a8dd941ab0588","before":"13e23cc544fb86b2e1efca81179f952ec1931ace","commits":[{"sha":"88fb7924a50e7a3c40b49ab98978d10f158a1fdb","author":{"name":"Lukas Bruder","email":"df0eea9f3e90f84d49554d582600c9b75a4d8334@mhpc.mw.tum.de"},"message":"Support for (in theory) arbitrary numbers of quantities of interest:\n- In practice, you would not want to go very high due to the KDE, regression model and rejection sampling, which all suffer from the curse of dimensionality\n- The framework was tested with up to 3 quantities of interest.\n- For 2 QoIs, some distribution plots are created for illustration.\n- For > 2 QoIs, there is no more distribution plotting.\n- Seaborn is now used for some visualization parts.","distinct":true,"url":"https://api.github.com/repos/TimWildey/CBayes-MLMF/commits/88fb7924a50e7a3c40b49ab98978d10f158a1fdb"},{"sha":"96609729fdfa1db97a0f39beb28a8dd941ab0588","author":{"name":"Lukas Bruder","email":"df0eea9f3e90f84d49554d582600c9b75a4d8334@mhpc.mw.tum.de"},"message":"Updated README with additional dependencies.","distinct":true,"url":"https://api.github.com/repos/TimWildey/CBayes-MLMF/commits/96609729fdfa1db97a0f39beb28a8dd941ab0588"}]}
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