Check a prototype of 2nd version of this platform
being developed by cKnowledge.org in collaboration with
MLCommons.
analyze math.variation
ck-action:analyze math.variation (v3.0.0)
License: BSD 3-clause (code) and CC BY-SA 4.0 (data)
Creation date: 2015-04-06
Source: GitHub
cID: 081173242a88bc94:b415624e3ab23013
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Creation date: 2015-04-06
Source: GitHub
cID: 081173242a88bc94:b415624e3ab23013
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:math.variation --version=3.0.0 --all
ck analyze math.variation --help - How to get the development version:
pip install ck
ck pull repo:ck-ml
ck analyze math.variation --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: analyzing variation of experimental results (min,max,average,expected values,etc)
- API Python code: Link
- JSON API:
" Input: { characteristics_table - characteristics table (list) (bins) - number of bins (int, default = 100) (min) - min float value (if multiple ctables are processed) (max) - max float value (if multiple ctables are processed) (cov_factor) - float covariance factor (0.5 by default) (skip_fail) - if 'yes', do not fail, if SciPy and NumPy are not available } Output: { return - return code = 0, if successful > 0, if error (error) - error text if return > 0 min - min X values from input or calculated max - max X values from input or calculated xlist - list of x values ylist - list of y density values xlist2 - list of x values with peaks ylist2 - list of y density values with peaks xlist2s - list of sorted x values with peaks (max y -> hence 1st expected value) ylist2s - list of sorted y density values with peaks } "