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+#!/bin/bash
+
+set -e
+
+mkdir myrepo
+cd myrepo
+
+# 1. Set up environment and get code
+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
+git add code/
+git commit -m 'Download code'
+dvc init
+git commit -m 'Init DVC'
+
+# 2. First steps in 100K dataset
+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'
+
+# 3. Define full pipeline for 25K 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'
+
+# 4. Integrate the 25K dataset pipeline into 100K branch
+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'
+
+# 5. Improve the 25K model
+git checkout input_25K
+dvc checkout
+vi code/train_model.py  # Change: estimators=500 and n_jobs=6
+dvc repro
+git commit -am 'estimators=500'
+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 # Change: ngram_range=(1, 3)
+dvc repro
+git commit -am 'Add three-grams'
+cat data/eval_auc.txt
+# 0.630682
+
+vi code/featurization.py  # Change: ngram_range=(1, 4)
+dvc repro
+git commit -am 'Add 4-grams'
+cat data/eval_auc.txt
+# 0.621002
+
+# 6. Revert the last step back
+# 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
+
+# 7. Integrate the 25K model improvements into the 100K model
+git checkout input_100K
+dvc checkout
+git merge -X theirs input_25K
+dvc repro
+git commit -am 'Final model for 100K dataset'
+cat data/eval_auc.txt
+# 0.652154
+