文件列表:

.ipynb_checkpoints (0, 2016-07-06)
.ipynb_checkpoints\R-test-iris-caret-glmnet-checkpoint.ipynb (435784, 2016-07-06)
.ipynb_checkpoints\Untitled-checkpoint.ipynb (72, 2016-07-06)
.ipynb_checkpoints\Untitled1-checkpoint.ipynb (72, 2016-07-06)
.ipynb_checkpoints\Untitled2-checkpoint.ipynb (72, 2016-07-06)
.ipynb_checkpoints\Untitled3-checkpoint.ipynb (72, 2016-07-06)
R-test-iris-caret-glmnet.ipynb (435784, 2016-07-06)
Untitled.ipynb (72, 2016-07-06)
Untitled1.ipynb (72, 2016-07-06)
Untitled2.ipynb (72, 2016-07-06)
Untitled3.ipynb (72, 2016-07-06)
conda (0, 2016-07-06)
conda\h20_python (0, 2016-07-06)
conda\h20_python\build.sh (188, 2016-07-06)
conda\h20_python\meta.yaml (280, 2016-07-06)
datacamp-1.R (10133, 2016-07-06)
datacamp-2-kaggle-viz.R (3398, 2016-07-06)
datacamp-python-hacker-testing.ipynb (3680, 2016-07-06)
get.spark-1.6.1-bin-hadoop2.6.sh (102, 2016-07-06)
get.spark.1.6.3.sh (105, 2016-07-06)
h20-001.Rmd (1587, 2016-07-06)
h20.mac.spark.1.6.3.sh (1938, 2016-07-06)
set_up.md (585, 2016-07-06)

# To Do need to move back to linux soon...all currently on ox-x-*** el cap. ## R & Jupytper all a bit shite for now even after fresh install. ``` sjnewhouse@MacBook-Pro-6:~|’ jupyter notebook [I 10:55:48.688 NotebookApp] The port 8888 is already in use, trying another port. [I 10:55:48.689 NotebookApp] The port 8889 is already in use, trying another port. [I 10:55:48.690 NotebookApp] The port 8890 is already in use, trying another port. [I 10:55:48.690 NotebookApp] The port 8891 is already in use, trying another port. [I 10:55:48.707 NotebookApp] Serving notebooks from local directory: /Users/sjnewhouse [I 10:55:48.707 NotebookApp] 0 active kernels [I 10:55:48.708 NotebookApp] The Jupyter Notebook is running at: http://localhost:8892/ [I 10:55:48.708 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [I 10:55:54.065 NotebookApp] Creating new notebook in [I 10:55:55.095 NotebookApp] Kernel started: 85e17cb2-608d-442c-8e89-1cd8731c1e33 Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object '/Users/sjnewhouse/anaconda3/lib/R/library/rzmq/libs/rzmq.so': dlopen(/Users/sjnewhouse/anaconda3/lib/R/library/rzmq/libs/rzmq.so, 6): Library not loaded: @rpath/libzmq.5.dylib Referenced from: /Users/sjnewhouse/anaconda3/lib/R/library/rzmq/libs/rzmq.so Reason: image not found Calls: :: ... tryCatch -> tryCatchList -> tryCatchOne -> Execution halted ``` conda R 3.2.2!! needs a kick up the butt! see issues #### Fix - fresh install anaconda and rm `~/.anaconda` - https://github.com/conda/conda/issues/1722 see tips here! dont update! - dont use conda r or r-essentials - use system R and install https://irkernel.github.io/ - conflict coming when needing to use conda r-packages - ... after fresh conda install do. Notebook now works with R (but system R not conda R!). ```bash ## https://github.com/conda/conda/issues/1722 conda info --envs conda create --name py35_base --clone root # py35_base is now ready for you to roll back to if things get weird # next time I will also make and py35_base_r env before installing r for eg ``` ## Docker Stacks Opinionated stacks of ready-to-run Jupyter applications in Docker. - https://github.com/jupyter/docker-stacks ## anaconda cluster - https://anaconda.org/anaconda-cluster - https://docs.continuum.io/anaconda-cluster/quickstart - https://docs.continuum.io/anaconda-cluster/index ``` conda install -c anaconda-cluster scala=2.11.1 conda install -c anaconda-cluster spark=1.6.0 ``` ## Using Anaconda with Hadoop: Distributed language processing with PySpark - https://anaconda.org/anaconda-cluster/notebook-pyspark-language/notebook ## R: Caret - caret still has rich set of ML methods and wrapper functions. - http://topepo.github.io/caret/ ## spark.ml - http://spark.apache.org/docs/latest/ml-guide.html ## Python ml - https://github.com/rasbt/python-machine-learning-book - https://github.com/rasbt/mlxtend - `conda install -c rasbt mlxtend` - http://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html - http://learnpythonthehardway.org/book/ ## Sparkling Water playing with Sparkling Water - http://www.h2o.ai/product/sparkling-water/ - http://www.h2o.ai/ - https://github.com/h2oai/h2o-3 - http://www.h2o.ai/download/sparkling-water/spark16 Docker : https://github.com/sequenceiq/docker-spark get docker hadoop and spark images ```bash docker pull sequenceiq/hadoop-docker:2.7.0 docker pull sequenceiq/spark:1.6.0 ``` get H20 ```bash git clone https://github.com/h2oai/h2o-3.git ```

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