This docker setting is for tring to touch and test some machine learning.
- Tensorflow 1.1.0
- Chainer 1.19.0
- Scikit-learn 0.18.1
- Gensim 2.0.0
- Word2vec 0.9.1
- Numpy 1.12.1
- Pandas 0.19.2
- Jupyter 4.3.0
- Matplotlib 2.0.0
- Mecab latest
- Juman++ 7.01
- Keras 2.0.4
- NLTK 3.2.2
- TFLearn 0.3
and other dependent libraries.
Please update passwords(default is "ml" for following).
- ml user password
- ipyton password(jupyter_notebook_config.py)
# Build image
# This image requires more than 13 GB disk space
docker build -t zuqqhi2/ml-python-sandbox .
# Run jupyter notebook & tensorboard
docker run -it -p 8888:8888 -p 6006:6006 zuqqhi2/ml-python-sandbox
# Login container
docker run -it -p 8888:8888 -p 6006:6006 zuqqhi2/ml-python-sandbox /bin/bash
source ~/.bash_profile
mlact
# Set japanese locale
export LANG=ja_JP.UTF-8
export LC_ALL=ja_JP.UTF-8
export LC_CTYPE=ja_JP.UTF-8
- 1.1.0
- New Library/Tool : Seaborn, TFLearn, TFGraphviz, Tensorboard
- Others : samples.ipynb to introduce how to use libraries, start_webuis.sh to run jupyter notebook and tensorboard
- Add "hmmlearn" to requirements.txt