Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
License: Apache License 2.0
which example and data for FFM?
很不错，代码写的比较工整，就是整个工程的文件组织方式有点凌乱,你可以把头文件分类放在include目录，对应的实现放在src里面，建议用cmake重新组织一下。
You can do it better! 加油!
There are one bug in the function 'timeoutResender' in network.h
if (pkg.send_time + max_retry_times * timeout >= cur_time) { sending_queue.pop(); continue; } else if (pkg.send_time + timeout >= cur_time) { const time_t interval = pkg.send_time + timeout - cur_time; assert(interval >= 0); std::this_thread::sleep_for(std::chrono::seconds(interval)); }
The 'else if' cannot be reached.
I run make master in the project root directory. However, it seems that it doesn't work:
/tmp/ccwE9B34.o: In function `Delivery::init()':
main.cpp:(.text._ZN8Delivery4initEv[_ZN8Delivery4initEv]+0x2d): undefined reference to `zmq_socket'
/tmp/ccwE9B34.o: In function `Master::Master()':
main.cpp:(.text._ZN6MasterC2Ev[_ZN6MasterC5Ev]+0x70a): undefined reference to `zmq_ctx_new'
main.cpp:(.text._ZN6MasterC2Ev[_ZN6MasterC5Ev]+0x757): undefined reference to `zmq_socket'
main.cpp:(.text._ZN6MasterC2Ev[_ZN6MasterC5Ev]+0x784): undefined reference to `zmq_connect'
main.cpp:(.text._ZN6MasterC2Ev[_ZN6MasterC5Ev]+0x7cf): undefined reference to `zmq_msg_init'
main.cpp:(.text._ZN6MasterC2Ev[_ZN6MasterC5Ev]+0x7e0): undefined reference to `zmq_msg_send'
/tmp/ccwE9B34.o: In function `Delivery::event_loop()':
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0x30): undefined reference to `zmq_msg_init'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0x49): undefined reference to `zmq_msg_init'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0xc9): undefined reference to `zmq_msg_recv'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0xe4): undefined reference to `zmq_msg_more'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0x104): undefined reference to `zmq_msg_recv'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0x31c): undefined reference to `zmq_msg_size'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0x333): undefined reference to `zmq_msg_data'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0x359): undefined reference to `zmq_msg_size'
main.cpp:(.text._ZN8Delivery10event_loopEv[_ZN8Delivery10event_loopEv]+0x36d): undefined reference to `zmq_msg_data'
/tmp/ccwE9B34.o: In function `void std::__once_call_impl<std::_Bind_simple<Delivery::Instance()::{lambda()#1} ()> >()':
main.cpp:(.text._ZSt16__once_call_implISt12_Bind_simpleIFZN8Delivery8InstanceEvEUlvE_vEEEvv[_ZSt16__once_call_implISt12_Bind_simpleIFZN8Delivery8InstanceEvEUlvE_vEEEvv]+0x27): undefined reference to `zmq_bind'
collect2: error: ld returned 1 exit status
Makefile:26: recipe for target 'master' failed
My env is Ubuntu 16.04. ( I tried rebuild zmq, but the compiling error is exactly same. )
Hi, Thanks for your work, it looks great.
I have a question. Does the project be applied to real product environment and whether the project performs well ?
How about distributed FFM training time and precision compared with single-machine libFFM project.
执行build.sh, 报错如下:
LightCTR/train/train_tm_algo.cpp:222:37: error: call of overloaded ‘isnan(double&)’ is ambiguous
assert(!isnan(LogLKH));
首先，非常感谢开源分享。
两点建议：
.xcodeproj .travis.yml会不会支持数据级或模型级的并行？
会的话会使用什么同步或调度算法？
最近在研究这个，可以的话麻烦给些指导。
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