tetsuok / arowpp Goto Github PK
View Code? Open in Web Editor NEWAROW++ An implementation of the efficient confidence-weighted classifier
License: Other
AROW++ An implementation of the efficient confidence-weighted classifier
License: Other
Please provide more guidance on how to build this software now that you have switched to bazel, a build system nobody else knows how to use.
Your current instructions say:
$ git clone https://github.com/tetsuok/arowpp.git
$ cd arowpp
$ bazel build //:arow_learn //:arow_test
That doesn't work for me:
$ cd ~/sw
$ git clone https://github.com/tetsuok/arowpp.git
Cloning into 'arowpp'...
remote: Enumerating objects: 349, done.
remote: Total 349 (delta 0), reused 0 (delta 0), pack-reused 349
Receiving objects: 100% (349/349), 567.39 KiB | 2.31 MiB/s, done.
Resolving deltas: 100% (237/237), done.
$ cd arowpp
$ bazel build //:arow_learn //:arow_test
Extracting Bazel installation...
Starting local Bazel server and connecting to it...
ERROR: /Users/rschmidt/sw/arowpp/WORKSPACE:18:1: name 'new_http_archive' is not defined
ERROR: error loading package '': Encountered error while reading extension file 'tools/build_defs/repo/http.bzl': no such package '@bazel_tools//tools/build_defs/repo': error loading package 'external': Could not load //external package
INFO: Elapsed time: 4.388s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (0 packages loaded)
My system information:
$ sw_vers
ProductName: Mac OS X
ProductVersion: 10.13.6
BuildVersion: 17G14033
$ bazel version
Build label: 3.7.1- (@non-git)
Build target: bazel-out/darwin-opt/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar
Build time: Wed Nov 25 12:04:37 2020 (1606305877)
Build timestamp: 1606305877
Build timestamp as int: 1606305877
The readme says:
Note: As it turns out, we decided to use Autotools instead of using waf since the release of 0.1. The resulting package doesn't depend on python anymore.
It seems like that whole line could be removed, since you also don't use autotools anymore.
0.1.2 built and installed both static and dynamic libraries, and the programs arow_test and arow_learn were linked with the dynamic library.
In 0.1.3, only a static library is produced, and the programs presumably link with that static library, since the 0.1.3 programs are much larger than their 0.1.2 counterparts.
These observations are from macOS 10.13.6.
Now that the build system is bazel, how can the software be installed?
The old autotools instructions with arowpp 0.1.2 said:
$ git clone https://github.com/tetsuok/arowpp.git
$ cd arowpp
$ ./configure [--enable-gtest]
$ make
$ make check # This is optional. See the note below.
$ make install
Note the make install
step which (typically with sudo
) installs the software.
The new bazel build instructions with arowpp 0.1.3 say:
$ git clone https://github.com/tetsuok/arowpp.git
$ cd arowpp
$ bazel build //:arow_learn //:arow_test
That builds, but how to install?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.