xlearn
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aksnzhy
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI int...
Hey! We have big dataset for training (few TB), so we use your library with --disk learning option. We spend significant time on dataset parsing. On practice, if generate binary...
xlearn required setting num_feature at first，but we do not know the num_features in the future due to online learning scene
hey @aksnzhy would you consider creating a conda package? It would make the python installation very easy. FYI @yueguoguo @LeavingSeason
Hello, here is my question: When I setValidate, it will show AUC in training process. However, in predicting process, it seems like it will only save the predicting result into...
Maybe a rough time will make the person waiting more comfortable.Thank you very much!!
Hello. Thank for such a great library! Are you going to add weighted input for training?
Hi, I'm following the issue #53 and setting the nthread parameter to 20. However, when I use the top command to check CPU usage, I find that there are 20...
I set the parameters 'metric' to 'auc'. When training the model, each epoch will show train log_loss, test log_loss, test auc. Is it possible to show train auc?
-----------] Epoch Train log_loss Test log_loss Test Accuarcy Time cost (sec) [ 1% ] 1 -nan -nan 0.905664 10.20 [ 2% ] 2 -nan -nan 0.905664 7.12 [ 3% ]...
If I did not miss anything, currently, the scoring operation of a model takes a txt file. It would be great that the model can directly take a Python object...
