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توضیحات

APL-Brochu - The Implementation of the paper Active Preference Learning with Discrete Choice Data by Brochu et al. (2011)

ویژگی	مقدار
سیستم عامل	-
نام فایل	APL-Brochu-0.0.1
نام	APL-Brochu
نسخه کتابخانه	0.0.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	N. Dorukhan Sergin
ایمیل نویسنده	dorukhan.sergin@gmail.com
آدرس صفحه اصلی	https://github.com/dorukhansergin/APL-Brochu
آدرس اینترنتی	https://pypi.org/project/APL-Brochu/
مجوز	-

# Active Preference Learning with Discrete Choice Data This is an unofficial implementation of the [Active Preference Learning with Discrete Choice Data](https://papers.nips.cc/paper/2007/hash/b6a1085a27ab7bff7550f8a3bd017df8-Abstract.html) by Brochu et al. as published in NIPS 2007. Why would this package be useful for you? > Imagine a scenario where you are trying to find a place to have lunch today. > There are tons of places to eat around. > An app presents you two restaurants to compare at a time and can help you reach a good enough restaurant in as few queries as possible. > Each time you pick a restaurant, the model gradually learns what you want and hopefully, its suggestions get gradually better. > This will save you a lot of time and when designed well, can be a much more fun way to search as opposed to going through a boring list view. ![](readme_photo.jpg) In general, if the following conditions are present, active preference can be useful for you: - User is searching for an item in a very large set of items that's impossible go through one by one. - User is okay with a good enough solution if it is going to be found shortly. - Items can be embedded in a vectors space where proximity in that space implies similarity in preference between items. # Installation There are currently two modes of installation: bare bones, extras, development. Whichever mode, first clone the repository. `git clone git@github.com:dorukhansergin/APL-Brochu.git` ## Bare Bones The package requires: ``` numpy~=1.20.1 scikit-learn~=0.24.1 scipy ``` Change into the folder of the cloned repository and use `pip` to install. `pip install .` ## Extras In addition to bare bones, the following packages will be installed: ``` streamlit matplotlib ``` `pip install .\[extras\]` ## Development In addition to bare bones, the following packages will be installed: ``` pytest pylint black rope ``` Change into the folder of the cloned repository and use `pip` to install, with the dev mode. The `-e` flag listens to change in code so it's recommended. `pip install -e .\[dev\]` You can run the tests using pytest with the simple `pytest` command. # Play with the Demo See above for the installation of extras. The extras has a demo for you to get a feeling for the algorithm. Use the streamlit command to run it. `streamlit run extras/brochu2d.py`

نیازمندی

مقدار	نام
<2.0.0,~=1.20	numpy
<1.0.0,~=0.24.1	scikit-learn
-	scipy
-	pytest
-	pylint
-	black
-	rope
-	streamlit
-	matplotlib
-	plotly

نحوه نصب

نصب پکیج whl APL-Brochu-0.0.1:

pip install APL-Brochu-0.0.1.whl

نصب پکیج tar.gz APL-Brochu-0.0.1:

pip install APL-Brochu-0.0.1.tar.gz