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...
python包安装后，跑个demo 报错
Hi! Can you please help me to understand the package API. Specifically, can I convert data from libsvm/libffm format to binary format before training a model? Thanks in advance.
Hi! I'd like to share my problem I suffered using xlearn binary classifier model. I modified the code from this tutorial. https://www.analyticsvidhya.com/blog/2018/01/factorization-machines/ import pandas as pd import xlearn as xl...
It can run but always terminate, "terminate called without an active exception" and then I have to rerun my procedure, anybody encountered this one?
hi,dear as a poor learner for FM/FFM, wanna know the classification only has 2 classes ?? also see the [demo](https://github.com/aksnzhy/xlearn/blob/master/demo/classification/scikit_learn_demo/example_FM_wine.py) multi-classes is where ? and how to set the param...
Loading the model for predictions takes a long time. This is problematic when handling data in small batches as the model has to be loaded for every batch. Is there...
should it be "int align = kAlign * aux_size;" => "int align = kAlign;" for **ftrl in ffm_score.cc line 57** as for "for (index_t d = 0; d < align0;...
朋友，你好，在使用 fm 模型中，发现训练数据集比较大小，会出现 train loss 为 -nan 的情况。数据量也不大，就30W，后面想用几百万的数据，感觉不能用呀。这是因为多个小于0的值连乘，导致结果为无穷小么。训练日志如下 参考别人的问题，我降低学习率，依然有这样的问题。但是当我把训练集降低的时候，就正常了。 ./xlearn_train data-small/vec-small-train.dat -s 1 -v data-small/vec-small-test.dat -s 1 -x acc -r 0.000001 [------------] xLearn uses 24 threads for training task. [...
