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web_page_classification's Introduction

This repository contains Deep learning algorithms for web page classification written in Tensorflow (Python).

Requirements

mkvirtualenv --python=`which python3` --system-site-packages wpc
pip install -r requirements.txt

Running

python -m collect --data_dir ~/Downloads/wpc --dataset_type dmoz --max_file_num 5
python -m collect --data_dir ~/Downloads/wpc --pages_per_file 100 --max_file_num 5 --dataset_type dmoz --cat_num 5
python -m collect --data_dir ~/Downloads/wpc --pages_per_file 2000 --max_file_num 5 --dataset_type dmoz --cat_num 5
python -m collect --data_dir ~/Downloads/wpc --pages_per_file 100 --max_file_num 5 --dataset_type ukwa

python -m convert --data_dir ~/Downloads/wpc --html_folder html_
python -m convert --data_dir ~/Downloads/wpc --dataset_type dmoz --num_cats 5 --html_folder html_test 

python -m train --data_dir ~/Downloads/wpc/ --num_cats 5 --model_type cnn --tfr_folder TFR_5-2500

python -m eval --data_dir ~/Downloads/wpc/ --model_type cnn --train_dir ~/Downloads/wpc/cnn/outputs/

Modules

License

MIT

##Note

googlescraper

put chromedriver under ~/work/py-envs/wpc/bin/

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