multi_stat_analysis experiment
ck-action:multi_stat_analysis experiment (v3.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2014-12-06
Source: GitHub
cID: 081173242a88bc94:6ee1aaf77b4e87ac
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: 081173242a88bc94:6ee1aaf77b4e87ac
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:experiment --version=3.0.0 --all
ck multi_stat_analysis experiment --help - How to get the development version:
pip install ck
ck pull repo:ck-ml
ck multi_stat_analysis experiment --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: universal experiment entries
- API Python code: Link
- JSON API:
" Input: { (dict) - pre-loaded dict with characteristics that will be flattened or (flat_dict) - pre-loaded flat dict with characteristics USE 'characteristic_list' in dict! dict_to_add - data to analyze and add to dict (dict_to_compare) - flat dict to calculate improvements (process_multi_keys) - list of keys (starts with) to perform stat analysis on flat array, by default ['##characteristics#*', '##features#*' '##choices#*'], if empty, no stat analysis (skip_stat_analysis) - if 'yes', just flatten array and add #min } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 dict_flat - updated and flattened original dictionary max_range_percent - max % range in float/int data (useful to record points with unusual behavior) min - 'yes', if one of monitored values reached min max - 'yes', if one of monitored values reached max } "