Check a prototype of 2nd version of this platform
being developed by cKnowledge.org in collaboration with
MLCommons.
validate model.sklearn
ck-action:validate model.sklearn (v3.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2014-12-06
Source: GitHub
cID: 081173242a88bc94:528df02658e19c98
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Creation date: 2014-12-06
Source: GitHub
cID: 081173242a88bc94:528df02658e19c98
Description
- Automation framework: CK
- Development repository: ck-ml
- Source: GitHub
- How to get the stable version via the CK client:
pip install cbench
cb download module:model.sklearn --version=3.0.0 --all
ck validate model.sklearn --help - How to get the development version:
pip install ck
ck pull repo:ck-ml
ck validate model.sklearn --help
- How to run from Python:
import ck.kernel as ck
r=ck.access({'action':'',
'module_uoa':'',
... See JSON API below ...
})
if r['return']>0: return r
...
- Module description: predictive modeling via python-based scikit-learn
- API Python code: Link
- JSON API:
" Input: { model_name - model name: earth lm nnet party randomforest rpart svm model_file - file with model (object) code features_table - features table (in experiment module format) (keep_temp_files) - if 'yes', keep temp files } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 prediction_table - experiment table with predictions } "