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alan-turing-institute
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learning-machines-drift
A Python package for monitoring dataset drift in secure environments
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Sphinx docs
#46
sgreenbury
closed
1 year ago
0
This is for testing a pull request
#45
myyong
closed
1 year ago
0
Fix poetry install
#44
sgreenbury
closed
1 year ago
0
Wheel
#43
jsteyn
closed
1 year ago
0
Display multiple metrics in single output
#42
sgreenbury
opened
1 year ago
0
Refactor names
#41
myyong
closed
1 year ago
0
My/update sdv
#39
sgreenbury
closed
1 year ago
1
Update SDMetrics
#35
myyong
closed
1 year ago
5
Publish the package on PyPI
#33
sgreenbury
opened
1 year ago
4
Check backend class is functioning as expected
#31
sgreenbury
closed
1 year ago
2
Fix python dependency to include `python=3.9`
#26
sgreenbury
closed
1 year ago
1
Make initial visualisation class
#25
sgreenbury
closed
1 year ago
0
Handle overall drift measure cases with missing columns
#22
sgreenbury
closed
1 year ago
1
Measuring drift in temporal/longitudinal datasets
#19
sgreenbury
opened
1 year ago
0
Capturing model explainability, predictions and uncertainty within monitor
#18
sgreenbury
closed
1 year ago
2
Tool for generating tabular/graphical drift outputs from passed data
#17
sgreenbury
closed
1 year ago
2
Add argument for "clearing" monitor/not loading previous logs
#16
sgreenbury
closed
1 year ago
1
Include additional measures of drift
#15
myyong
closed
1 year ago
3
Monitor outcomes and other information gathered with outcomes
#14
myyong
closed
2 years ago
1
Onboard Sam
#13
myyong
closed
2 years ago
0
Extend documentation for measures
#12
myyong
closed
1 year ago
1
Add a class which filters logged data
#6
OscartGiles
closed
1 year ago
1
WIP: Draft api
#4
OscartGiles
closed
2 years ago
0
Decide which metrics to include in first iteration of package
#3
OscartGiles
opened
2 years ago
1
Sketch out API for drift package
#2
OscartGiles
opened
2 years ago
4
Add fake data set for tests and designing API
#1
OscartGiles
opened
2 years ago
0