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meta.yaml
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meta.yaml
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package:
name: skll
version: 0.23.1
source:
fn: skll-0.23.1.tar.gz
url: https://pypi.python.org/packages/source/s/skll/skll-0.23.1.tar.gz
md5: 9a603384a694bf4d3cccd70a9758d22d
build:
entry_points:
- filter_megam = skll.utilities.filter_megam:main
- generate_predictions = skll.utilities.generate_predictions:main
- join_megam = skll.utilities.join_megam:main
- megam_to_libsvm = skll.utilities.megam_to_libsvm:main
- print_model_weights = skll.utilities.print_model_weights:main
- run_experiment = skll.utilities.run_experiment:main
- skll_convert = skll.utilities.skll_convert:main
- summarize_results = skll.utilities.summarize_results:main
- filter_megam2 = skll.utilities.filter_megam:main [py2k]
- generate_predictions2 = skll.utilities.generate_predictions:main [py2k]
- join_megam2 = skll.utilities.join_megam:main [py2k]
- megam_to_libsvm2 = skll.utilities.megam_to_libsvm:main [py2k]
- print_model_weights2 = skll.utilities.print_model_weights:main [py2k]
- run_experiment2 = skll.utilities.run_experiment:main [py2k]
- skll_convert2 = skll.utilities.skll_convert:main [py2k]
- summarize_results2 = skll.utilities.summarize_results:main [py2k]
- filter_megam3 = skll.utilities.filter_megam:main [py3k]
- generate_predictions3 = skll.utilities.generate_predictions:main [py3k]
- join_megam3 = skll.utilities.join_megam:main [py3k]
- megam_to_libsvm3 = skll.utilities.megam_to_libsvm:main [py3k]
- print_model_weights3 = skll.utilities.print_model_weights:main [py3k]
- run_experiment3 = skll.utilities.run_experiment:main [py3k]
- skll_convert3 = skll.utilities.skll_convert:main [py3k]
- summarize_results3 = skll.utilities.summarize_results:main [py3k]
number: 1
requirements:
build:
- python
- joblib
- setuptools
- scikit-learn
- six
- prettytable
- beautiful-soup
- numpy
- scipy
- configparser [py2k]
- futures [py2k]
- logutils [py2k]
run:
- python
- joblib
- scikit-learn
- six
- prettytable
- beautiful-soup
- numpy
- scipy
- configparser [py2k]
- futures [py2k]
- logutils [py2k]
test:
# Python imports
imports:
- skll
commands:
- filter_megam --help
- generate_predictions --help
- join_megam --help
- megam_to_libsvm --help
- print_model_weights --help
- run_experiment --help
- skll_convert --help
- summarize_results --help
about:
home: http://github.com/EducationalTestingService/skll
license: BSD 3-clause