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dfl's Issues

Caffe slover cannot be stopped when application exits.

flush block manager database
flush reputation database
flush block cache database
flush verified transaction database
flush dataset database
F0719 03:08:58.081552 36242 blob.hpp:140] Check failed: num_axes() <= 4 (319204087 vs. 4) Cannot use legacy accessors on Blobs with > 4 axes.
*** Check failure stack trace: ***
    @     0x7f214cd3c1c3  google::LogMessage::Fail()

More metrics?

the DFL supports only the accuracy metric that, in several machine learning tasks, is not a good indication of the model performances. Is it possible to generalize the proposed approach with other metrics?

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