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Experimental new Python bindings for the VowpalWabbit library

Home Page: https://vowpal-wabbit-next.readthedocs.io/en/latest/

License: BSD 3-Clause "New" or "Revised" License

CMake 0.80% Python 54.96% C++ 43.43% Shell 0.81%

machine-learning python reinforcement-learning vowpal-wabbit

py-vowpal-wabbit-next's Introduction

py-vowpal-wabbit-next

These are a new set of bindings for VowpalWabbit. Parity with the existing bindings is not a goal of this project as it is an opportunity for a clean slate and opportunity to rethink old decisions. The interfaces here are all subject to change so be prepared for things to change if you use this library.

Installation

pip install vowpal-wabbit-next

Example

import vowpal_wabbit_next as vw
import io

cb_input = io.StringIO(
    """shared | s
0:1:0.5 | a=0
| a=1

shared | s
| a=0
1:0:0.5 | a=1"""
)

workspace = vw.Workspace(["--cb_explore_adf"])

with vw.TextFormatReader(workspace, cb_input) as reader:
    for event in reader:
        print(workspace.predict_then_learn_one(event))

Goals

Fully typed and documented
All artifacts automatically build in CI
Focus on library usage instead of CLI behavior

Supported platforms

Wheels are provided for the following platforms:

OS+arch: Windows x86_x64, MacOS x86_x64, MacOS arm64, Linux x86_x64
Python: 3.7 (except MacOS), 3.8, 3.9, 3.10, 3.11

Development information

Local debug if using vcpkg deps

# Build
export CMAKE_TOOLCHAIN_FILE=$(pwd)/ext_libs/vcpkg/scripts/buildsystems/vcpkg.cmake
pip install -v .

# Install dev dependncies
pip install -r requirements-dev.txt

# Test
pytest

# Type check
mypy

# Format
black src tests

# Check documentation
pydocstyle src

Update pybind11 module type stub

After updating the native module the type stub must be updated. This can be done automatically like so (ideally automatically in future, or at least checked if it is stale):

./generate_types.sh

py-vowpal-wabbit-next's People

Contributors

Stargazers

Watchers

Forkers

ataymano bassmang olgavrou cheng-tan seanpm2001

py-vowpal-wabbit-next's Issues

CCB support

Hello,

Do you have any plans for CCB supporting?

Model serialize does not complete (or at least takes very long) on large models

When trying to serialize and save a large model (either ooa or plt, the model files are more than 1 GB large), the model.serialize() does not complete in over an hour (I did not try out how long it would take, that seemed pointless).
This is weird, because when saving a model using the vowpalwabbit functionality of training (by passing the --final_regressor option), the saving is done quite fast.
Loading a model of said size is a matter of seconds.
Also, using the model.save(model_filename) functionality of the old vowpalwabbit package, is much faster (also in the seconds) with the same size of models.

Unfortunately, I am not sure how to pass an example. The code is quite easy

import vowpal_wabbit_next as vw
params = ['--loss_function=logistic', '--probabilities']
learned_model = open('model.vw', 'rb').read()
model = vw.Workspace(params, model_data=learned_model)
serialized_model = model.serialize()

Here the last command does not finish in any appropriate time - the memory usage keeps rising though.

I cannot pass one of our model or our training files. So I am not sure how to pass you a large model. is it possible for you, to create a dummy model to test yourself?

CCB Namespaces

Does CCB text format support namespaces and interactions?

How do I understand this

VWabbits has very good documentation mb

`run_cli_driver` ignores SIGINT

As in the title, run_cli_driver method ignores SIGINT send to the python script and waits till the end of the run.
This is probably also the case for other methods, but this one usually takes a lot of time.

Example:

Run the script from VowpalWabbit/vowpal_wabbit#4510 (comment)
Press Ctrl+C/Cmd+C after a few seconds
The script will finish the run of cli driver before interrupting.

Memory error when online training a loaded oaa model

When trying out the script in #4510 and changing to a oaa model (with much less bits, it really is slow), an access violation occurs when trying to online train the model.

Simply replace the prediction and evaluation with

testing_data.apply(lambda x: model.learn_one(text_parser.parse_line(to_vw_format(x.text, mapping[x.target]))), axis=1)
print('Hello World')

The Hello World will not be reached (in pytest it actually throws a fatal access violation, with a normal call it simply stops).

MacOS arm64 wheels are broken

There is an undefined symbol error when trying to load the MacOS arm64 wheels. I think the cross-building for arm64 in the wheels CI is not working correctly.

$ python -c "import vowpal_wabbit_next"
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/opt/miniconda3/envs/pynextdev/lib/python3.10/site-packages/vowpal_wabbit_next/__init__.py", line 1, in <module>
    from ._core import __version__, _vw_version, _vw_commit
ImportError: dlopen(/opt/miniconda3/envs/pynextdev/lib/python3.10/site-packages/vowpal_wabbit_next/_core.cpython-310-darwin.so, 0x0002): symbol not found in flat namespace (__ZN3fmt2v912format_errorD1Ev)

There was at least 1 issue I fixed here: #46. However, when inspecting the so with nm there are a large number of undefined symbol which leads me to believe the cross build is not working. It also seems like the wrong python libs are used in the build process.

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                 U __Znwm
                 U __ZnwmRKSt9nothrow_t
                 U ___cxa_allocate_exception
                 U ___cxa_atexit
                 U ___cxa_bad_cast
                 U ___cxa_begin_catch
                 U ___cxa_demangle
                 U ___cxa_end_catch
                 U ___cxa_free_exception
                 U ___cxa_guard_abort
                 U ___cxa_guard_acquire
                 U ___cxa_guard_release
                 U ___cxa_pure_virtual
                 U ___cxa_rethrow
                 U ___cxa_throw
                 U ___darwin_check_fd_set_overflow
                 U ___dynamic_cast
                 U ___error
                 U ___gxx_personality_v0
                 U ___maskrune
                 U ___stack_chk_fail
                 U ___stack_chk_guard
                 U ___stderrp
                 U ___stdinp
                 U ___stdoutp
                 U ___udivti3
                 U __tlv_bootstrap
                 U _abort
                 U _accept
                 U _atof
                 U _atoi
                 U _bind
                 U _bzero
                 U _calloc
                 U _clock
                 U _close
                 U _connect
                 U _cos
                 U _daemon
                 U _exit
                 U _exp
                 U _expf
                 U _expm1f
                 U _fclose
                 U _fflush
                 U _fileno
                 U _fmodf
                 U _fopen
                 U _fork
                 U _fprintf
                 U _fputc
                 U _fputs
                 U _fread
                 U _free
                 U _fscanf
                 U _fseeko
                 U _ftello
                 U _fwrite
                 U _getenv
                 U _gethostbyname
                 U _getnameinfo
                 U _getpid
                 U _getsockname
                 U _gmtime_r
                 U _gzclose
                 U _gzdopen
                 U _gzopen
                 U _gzread
                 U _gzseek
                 U _gzwrite
                 U _inet_ntop
                 U _isatty
                 U _kill
                 U _listen
                 U _localtime
                 U _localtime_r
                 U _log
                 U _log1p
                 U _log1pf
                 U _log2
                 U _logf
                 U _lseek
                 U _malloc
                 U _memchr
                 U _memcmp
                 U _memcpy
                 U _memmove
                 U _memset
                 U _memset_pattern16
                 U _mmap
                 U _nextafterf
                 U _open
                 U _pow
                 U _powf
                 U _printf
                 U _pthread_create
                 U _pthread_setspecific
                 U _pthread_threadid_np
                 U _qsort
                 U _read
                 U _realloc
                 U _recv
                 U _remainder
                 U _remove
                 U _rename
                 U _select
                 U _send
                 U _setsockopt
                 U _sigaction
                 U _sin
                 U _sleep
                 U _snprintf
                 U _socket
                 U _sscanf
                 U _stat
                 U _strcasecmp
                 U _strcmp
                 U _strcpy
                 U _strdup
                 U _strerror_r
                 U _strftime
                 U _strlen
                 U _strncmp
                 U _strrchr
                 U _strstr
                 U _strtof
                 U _strtok_r
                 U _strtol
                 U _strtoul
                 U _tan
                 U _time
                 U _wait
                 U _write
                 U dyld_stub_binder

Wheels for VW 8.7.0

Hello!

I'm currently investigating a regression of a training job using cache files as a training set. I'd like to compare cache files and stumbled upon this package that contains a cache file reader. Unfortunately, there is no wheel for vw 8.7.0. Would it be possible to build the wheels for 8.7.0 ? Or to guide me on how to do it myself ? I'm on macos arm. Many thanks in advance.

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