Compute contingency table

arkhn / dsPrivacy

A DataShield Differential Privacy Library

Apache License 2.0

6 stars 0 forks source link

Closed Jasopaum closed 1 year ago

github-actions[bot] commented 1 year ago

ai-template coverage report

File	Stmts	Miss	Cover	Missing
inst/python/dp/custom_dp
covariance_custom.py	31	1	97%	35
inst/python/dp/pydp_wrapper
count_PyDP.py	4	4	0%	1–6
max_PyDP.py	4	4	0%	1–6
mean_PyDP.py	4	4	0%	1–8
median_PyDP.py	4	4	0%	1–6
min_PyDP.py	4	4	0%	1–6
standard_deviation_PyDP.py	4	4	0%	1–8
sum_PyDP.py	4	4	0%	1–6
variance_PyDP.py	4	4	0%	1–8
TOTAL	63	33	48%

Tests	Skipped	Failures	Errors	Time
3	0 :zzz:	0 :x:	0 :fire:	1.155s :stopwatch:

github-actions[bot] commented 1 year ago

ai-template coverage report

File	Stmts	Miss	Cover	Missing
inst/python/dp/custom_dp
covariance_custom.py	31	1	97%	35
inst/python/dp/pydp_wrapper
count_PyDP.py	4	4	0%	1–6
max_PyDP.py	4	4	0%	1–6
mean_PyDP.py	4	4	0%	1–8
median_PyDP.py	4	4	0%	1–6
min_PyDP.py	4	4	0%	1–6
standard_deviation_PyDP.py	4	4	0%	1–8
sum_PyDP.py	4	4	0%	1–6
variance_PyDP.py	4	4	0%	1–8
TOTAL	63	33	48%

Tests	Skipped	Failures	Errors	Time
3	0 :zzz:	0 :x:	0 :fire:	1.190s :stopwatch: