#!/bin/bash set -e # 1. First ML model mkdir myrepo cd myrepo git init echo "This is an empty readme" > README.md git add README.md git commit -m 'add readme' mkdir code wget -nv -P code/ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/featurization.py \ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/evaluate.py \ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/train_model.py \ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/split_train_test.py \ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/xml_to_tsv.py \ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/requirements.txt #pip install -U -r code/requirements.txt # Edit eval file format git add code/ git commit -m 'Download code' dvc init git commit -m 'Init DVC' git checkout -b input_100K mkdir data #wget https://s3-us-west-2.amazonaws.com/dvc-share/so/100K/Posts.xml.tgz -O data/Posts.xml.tgz cp ../stackoverflow_small_xml/100K/Posts.xml.tgz data/ dvc add data/Posts.xml.tgz dvc run -o data/Posts.xml -d data/Posts.xml.tgz tar zxf data/Posts.xml.tgz -C data/ dvc run -d code/xml_to_tsv.py -d data/Posts.xml -o data/Posts.tsv python code/xml_to_tsv.py data/Posts.xml data/Posts.tsv python git add . git commit -m 'Extract TSV for 100K dataset' git checkout master dvc checkout git checkout -b input_25K dvc checkout mkdir data #wget https://s3-us-west-2.amazonaws.com/dvc-share/so/25K/Posts.xml.tgz -O data/Posts.xml.tgz cp ../stackoverflow_small_xml/25K/Posts.xml.tgz data/ dvc add data/Posts.xml.tgz dvc run -o data/Posts.xml -d data/Posts.xml.tgz tar zxf data/Posts.xml.tgz -C data/ dvc run -d code/xml_to_tsv.py -d data/Posts.xml -o data/Posts.tsv python code/xml_to_tsv.py data/Posts.xml data/Posts.tsv python dvc run -d code/split_train_test.py -d data/Posts.tsv -o data/Posts-train.tsv -o data/Posts-test.tsv python code/split_train_test.py data/Posts.tsv 0.33 20170426 data/Posts-train.tsv data/Posts-test.tsv dvc run -d code/featurization.py -d data/Posts-train.tsv -d data/Posts-test.tsv -o data/matrix-train.p -o data/matrix-test.p python code/featurization.py data/Posts-train.tsv data/Posts-test.tsv data/matrix-train.p data/matrix-test.p dvc run -d code/train_model.py -d data/matrix-train.p -o data/model.p python code/train_model.py data/matrix-train.p 20170426 data/model.p dvc run -d code/evaluate.py -d data/model.p -d data/matrix-test.p -O data/eval_auc.txt python code/evaluate.py data/model.p data/matrix-test.p data/eval_auc.txt dvc run -d data/eval_auc.txt cat data/eval_auc.txt # AUC: 0.596182 git status git add . git commit -m 'Full pipeline' git checkout input_100K dvc checkout git merge -X ours input_25K # You can also merge and resolve conflicts by hands!!! dvc repro git add . git commit -m 'Repro' # Improve the model: git checkout input_25K dvc checkout vi code/train_model.py # Change: estimators=500 git commit -am 'estimators=500' vi code/train_model.py # Change: n_jobs=6 git commit -am 'n_jobs=6' dvc repro cat data/eval_auc.txt # 0.619262 vi code/featurization.py # Change: add ngram_range=(1, 2) to CountVectorizer dvc repro git commit -am 'Add bigrams' cat data/eval_auc.txt # 0.628989 vi code/featurization.py dvc repro git commit -am 'Add three-grams' # Change: ngram_range=(1, 3) cat data/eval_auc.txt # 0.630682 vi code/featurization.py dvc repro git commit -am 'Add 4-grams' # Change: ngram_range=(1, 4) cat data/eval_auc.txt # 0.621002 # Create a branch for unsuccessful commit git checkout -b four_grams dvc checkout # The last successful commit which is the second last humman-created commit git log --pretty=oneline | grep -v "DVC repro-run: " | head -n 2 | tail -n 1 # Move the current HEAD to the last successful commit git branch -f input_25K `git log --pretty=oneline | grep -v "DVC repro-run: " | head -n 2 | tail -n 1 | cut -d" " -f1` git checkout input_25K dvc checkout # Continue to optimize the target metrics vi code/train_model.py # Change: min_samples_split=5 dvc repro git commit -am 'min_samples_split=5' git checkout input_100K dvc checkout git merge -X theirs input_25K dvc repro