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...
local training is impossible for large dataset. Looking forward for the distributed version.
通过命令行训练模型，加上--no-norm 得到模型文件。用自定义代码进行预测，与使用命令行加上--no-norm预测的结果一致； 通过命令行训练模型，不加--no-norm 得到模型文件。用自定义代码(归一化，norm = 1.0 / feaIds.size(); sqrtNorm = Math.sqrt(norm))进行预测，与使用命令行不加--no-norm预测的结果不一致；自定义代码预测的值比较大； 自定义预测代码： ``` double sumWeight = 0.0; // bias sumWeight += bias; // norm double norm = 1.0 / feaIds.size();...
I have got fm model parameters after I use setTXTModel in python. I want to use this parameters in java by fm model . But XLearn default set option instance-wise...
n [1]: import numpy as np ...: import xlearn as xl ...: from sklearn.datasets import load_iris ...: from sklearn.model_selection import train_test_split ...: ...: # Load dataset ...: iris_data = load_iris()...
centos7 python 3.6.8 ========================== pip3 install xlearn Collecting xlearn Using cached https://files.pythonhosted.org/packages/ab/1b/9ad0093cac05d6f95d3d768bc855804b18723c72120ce45cd930bd303587/xlearn-0.40a1.tar.gz Installing collected packages: xlearn Running setup.py install for xlearn ... error ERROR: Command errored out with exit status...
centos 7 gcc (GCC) 7.3.0 g++ (GCC) 7.3.0 cmake version 3.15.4 Scanning dependencies of target gtest [ 1%] Building CXX object gtest/CMakeFiles/gtest.dir/src/gtest-all.cc.o /tmp/ccUx5dLU.s: Assembler messages: /tmp/ccUx5dLU.s:6787: Error: no such instruction:...
Hi, Could you please provide the exact math formula I need to apply in my prediction (written in scala) to get a normalized prediction ? Thanks, Raphael.
I have some features, which is the same value，but different meaning。 for example, user tags and item tags，user tags is usually digged from user behaviors, like click items. They share...
The cmake --version(version 3.5.1) is installed on my linux! Why do I have this problem？？？
