Comments (4)
The issue is related to python 3.4.
The {**parameter, **param} syntax to merge two dicts is requiring 3.4
Will change it to 3.4 syntax
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actual installation script
1 sudo yum -y update
2 sudo yum install epel-release python34 python34-devel python34-setuptools
4 sudo yum -y groupinstall 'Development Tools'yum -y groupinstall 'Development Tools'
8 wget https:/downloads.sourceforge.net/project/swig/swig/swig-3.0.12/swig-3.0.12.tar.gz -O swig-3.0.12.tar.gz
11 tar xf swig-3.0.12.tar.gz
12 cd swig-3.0.12
13 ./configure --without-pcre
15 make; sudo make install
16 sudo pip3 install virtualenv
17 cd ..
18 sudo easy_install-3.4 pip
19 sudo pip3 install virtualenv
20 virtualenv zeroconf -p /usr/bin/python3.4
21 source zeroconf/bin/activate
23 pip install --upgrade cython
24 curl https://raw.githubusercontent.com/paypal/autosklearn-zeroconf/master/requirements.txt | xargs -n 1 -L 1 pip install
26 sudo yum install git gcc build-essential swig
27 git clone https://github.com/paypal/autosklearn-zeroconf.git
29 cd autosklearn-zeroconf/
31 python3 ./bin/zeroconf.py -d ./data/Adult.h5
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@d2k please consider forking this repository again before making your changes to keep all changes I have done to README etc since your pull request.
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fixed with 3.4 syntax. please accepot the pull request
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Related Issues (11)
- base directory in standard.yml HOT 1
- the data format is not very clear for the beginers. HOT 2
- Add csv as a source data format
- upgrade to auto-sklearn 3.0 HOT 1
- Graph in the README should be a scatter plot. HOT 1
- upstream issue: predict method fails after refit HOT 2
- Add benchmarks
- auto-sklearn 0.2.0 api changes - precision metrics
- auto-sklearn 0.2.0 api changes SimpleClassificationPipeline has no pre_transform method
- DeprecationWarning sklearn.cross_validation.train_test_split HOT 2
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