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...
In this PR, we add a Popper workflow for automatically downloading and verifying the complete HIGGS data set from UCI (which has 11 million entries), running the benchmark to compare...
hi,dear directly run the [demo](https://github.com/aksnzhy/xlearn/blob/master/demo/classification/scikit_learn_demo/example_LR_iris.py), but see the **nan** , what's the matter? ``` [------------] Total time cost: 0.42 (sec) (array([[ nan, -1.63379 ], [ nan, -0.0229995], [ nan, 0.0296314],...
可以直接把这个文件传入函数`fm_model.setTrain("train_after10000_.csv") # Training data`吗？ 可不可以分批训练？分批次传入训练数据？ 另外，xlearn可以用gpu吗？我没有找到相关的说明 非常感谢
[------------] Time cost for reading problem: 676.08 (sec) [ ACTION ] Initialize model ... [------------] Model size: 2.29 KB [------------] Time cost for model initial: 0.00 (sec) [ ACTION ]...
Hey I am pretty new to Xlearn. Out of curiosity, is there a handy approach to convert a pandas dataframe to the data format that libffm requires, and also doing...
do you have still memory leak described in RecoTour? https://github.com/jrzaurin/RecoTour/blob/master/Ponpare/Chapter12_FMs_Recommendations.ipynb I run this on a c5n.4xlarge instance with 40GB of memory and by the time it finished it had almost...
