mirror of
https://github.com/Stone-Red-Code/dvc.git
synced 2026-11-02 07:18:25 +01:00
118 lines
4.1 KiB
Bash
Executable File
118 lines
4.1 KiB
Bash
Executable File
#!/bin/bash
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set -e
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mkdir myrepo
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cd myrepo
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# 1. Set up environment and get code
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git init
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echo "This is an empty readme" > README.md
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git add README.md
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git commit -m 'add readme'
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mkdir code
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wget -nv -P code/ https://s3-us-west-2.amazonaws.com/dvc-share/so/code/featurization.py \
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https://s3-us-west-2.amazonaws.com/dvc-share/so/code/evaluate.py \
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https://s3-us-west-2.amazonaws.com/dvc-share/so/code/train_model.py \
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https://s3-us-west-2.amazonaws.com/dvc-share/so/code/split_train_test.py \
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https://s3-us-west-2.amazonaws.com/dvc-share/so/code/xml_to_tsv.py \
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https://s3-us-west-2.amazonaws.com/dvc-share/so/code/requirements.txt
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pip install -U -r code/requirements.txt
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git add code/
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git commit -m 'Download code'
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dvc init
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git commit -m 'Init DVC'
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# 2. First steps in 100K dataset
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git checkout -b input_100K
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mkdir data
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wget https://s3-us-west-2.amazonaws.com/dvc-share/so/100K/Posts.xml.tgz -O data/Posts.xml.tgz
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#cp ../stackoverflow_small_xml/100K/Posts.xml.tgz data/
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dvc add data/Posts.xml.tgz
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dvc run -o data/Posts.xml -d data/Posts.xml.tgz tar zxf data/Posts.xml.tgz -C data/
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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
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git add .
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git commit -m 'Extract TSV for 100K dataset'
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# 3. Define full pipeline for 25K dataset
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git checkout master
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dvc checkout
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git checkout -b input_25K
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dvc checkout
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mkdir data
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wget https://s3-us-west-2.amazonaws.com/dvc-share/so/25K/Posts.xml.tgz -O data/Posts.xml.tgz
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#cp ../stackoverflow_small_xml/25K/Posts.xml.tgz data/
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dvc add data/Posts.xml.tgz
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dvc run -o data/Posts.xml -d data/Posts.xml.tgz tar zxf data/Posts.xml.tgz -C data/
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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
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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
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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
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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
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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
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dvc run -d data/eval_auc.txt
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cat data/eval_auc.txt
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# AUC: 0.596182
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git status
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git add .
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git commit -m 'Full pipeline'
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# 4. Integrate the 25K dataset pipeline into 100K branch
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git checkout input_100K
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dvc checkout
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git merge -X ours input_25K # You can also merge and resolve conflicts by hands!!!
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dvc repro
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git add .
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git commit -m 'Repro'
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# 5. Improve the 25K model
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git checkout input_25K
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dvc checkout
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vi code/train_model.py # Change: estimators=500 and n_jobs=6
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dvc repro
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git commit -am 'estimators=500'
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cat data/eval_auc.txt
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# 0.619262
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vi code/featurization.py # Change: add ngram_range=(1, 2) to CountVectorizer
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dvc repro
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git commit -am 'Add bigrams'
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cat data/eval_auc.txt
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# 0.628989
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vi code/featurization.py # Change: ngram_range=(1, 3)
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dvc repro
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git commit -am 'Add three-grams'
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cat data/eval_auc.txt
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# 0.630682
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vi code/featurization.py # Change: ngram_range=(1, 4)
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dvc repro
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git commit -am 'Add 4-grams'
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cat data/eval_auc.txt
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# 0.621002
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# 6. Revert the last step back
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# Create a branch for unsuccessful commit
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git checkout -b four_grams
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dvc checkout
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# The last successful commit which is the second last humman-created commit
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git log --pretty=oneline | grep -v "DVC repro-run: " | head -n 2 | tail -n 1
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# Move the current HEAD to the last successful commit
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git branch -f input_25K `git log --pretty=oneline | grep -v "DVC repro-run: " | head -n 2 | tail -n 1 | cut -d" " -f1`
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git checkout input_25K
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dvc checkout
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# 7. Integrate the 25K model improvements into the 100K model
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git checkout input_100K
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dvc checkout
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git merge -X theirs input_25K
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dvc repro
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git commit -am 'Final model for 100K dataset'
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cat data/eval_auc.txt
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# 0.652154
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