Feat/3.7 support

[IanAtCredo]

Describe your changes

Removed requirements to add 3.7 support for Lens

To install python 3.7 on arm mac you'll have to do this:

## create empty environment
conda create -n py37

## activate
conda activate py37

## use x86_64 architecture channel(s)
conda config --env --set subdir osx-64

## install python, numpy, etc. (add more packages here...)
conda install python=3.7 numpy

Install lens from the test pypi server like so: pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple credoai-lens

Issue ticket number and link

Known outstanding issues that are not fully accounted for

Checklist before requesting a review

• [ ] I have performed a self-review of my code
• [ ] I have built basic tests for new functionality (particularly new evaluators)
• [ ] If new libraries have been added, I have checked that readthedocs API documentation is constructed correctly
• [ ] Will this be part of a major product update? If yes, please write one phrase about this update.

Extra-mile Checklist

• [ ] I have thought expansively about edge cases and written tests for them

[github-actions[bot]]

Coverage Report

File	Stmts	Miss	Cover	Missing
credoai
__init__.py	3	0	100%
_version.py	1	0	100%
credoai/artifacts
__init__.py	7	0	100%
credoai/artifacts/data
__init__.py	0	0	100%
base_data.py	117	14	88%	55, 155, 158, 173, 180, 187, 191, 196, 199, 202, 214, 217, 225, 241
comparison_data.py	63	13	79%	53, 60, 71, 76, 81, 90, 96, 100, 105, 114, 147, 153, 156
tabular_data.py	42	6	86%	52, 76, 80, 99, 101, 108
credoai/artifacts/model
__init__.py	0	0	100%
base_model.py	42	2	95%	57, 103
classification_model.py	69	33	52%	78–81, 97–101, 105–149, 218–221
comparison_model.py	11	0	100%
constants_model.py	5	0	100%
regression_model.py	11	4	64%	41–43, 46
credoai/evaluators
__init__.py	3	0	100%
data_fairness.py	160	13	92%	95–102, 110, 235, 262, 292–304, 421, 456–457
data_profiler.py	61	4	93%	58, 82–83, 102
deepchecks_credoai.py	40	3	92%	128–137
equity.py	113	6	95%	86, 167–169, 254–255
evaluator.py	73	6	92%	68, 71, 90, 116, 185, 192
fairness.py	125	2	98%	122, 271
feature_drift.py	59	1	98%	78
identity_verification.py	112	2	98%	155–156
model_profiler.py	102	32	69%	103–109, 125–138, 166–169, 182–187, 190–222, 264–265, 274–275, 313
performance.py	86	7	92%	114, 135–141
privacy.py	118	4	97%	422, 459–461
ranking_fairness.py	112	14	88%	149–150, 170, 189, 195–196, 392–414, 419–449
security.py	97	1	99%	321
shap_credoai.py	87	14	84%	127, 135–136, 146–152, 178–179, 261–262, 292–300
survival_fairness.py	67	45	33%	47–59, 64–75, 78–89, 92–110, 113, 116, 119
credoai/evaluators/utils
__init__.py	3	0	100%
fairlearn.py	18	1	94%	93
utils.py	34	3	91%	13, 41–42
validation.py	91	27	70%	11–12, 28, 48–49, 51–53, 60, 70, 72, 76–81, 94, 97, 100, 103–104, 121–128, 134–140, 143
credoai/governance
__init__.py	1	0	100%
credoai/lens
__init__.py	2	0	100%
lens.py	206	13	94%	59, 201–202, 238–243, 300, 342, 366, 448, 463, 467, 479
lens_validation.py	76	36	53%	7–8, 45, 48–57, 73, 77, 82–86, 95, 100–103, 130, 133–153, 181–183
pipeline_creator.py	60	12	80%	20–21, 37, 79–91
utils.py	39	28	28%	20–27, 49–52, 71–82, 99, 106–109, 128–135
credoai/modules
__init__.py	3	0	100%
constants_deepchecks.py	2	0	100%
constants_metrics.py	19	0	100%
constants_threshold_metrics.py	3	0	100%
metric_utils.py	24	18	25%	10–25, 29–50
metrics.py	88	13	85%	63, 67, 70–71, 74, 84, 123, 135–140, 178, 185, 187
metrics_credoai.py	189	52	72%	68–69, 73, 93–102, 107–109, 132–160, 176–179, 206, 230–231, 315–321, 397–403, 439–440, 510–511, 559, 663
stats.py	96	48	50%	16–19, 22–27, 30–32, 35–40, 43–57, 60–65, 107, 133–160, 192, 205–221
stats_utils.py	5	3	40%	5–8
credoai/prism
__init__.py	3	0	100%
compare.py	36	2	94%	72, 88
prism.py	36	4	89%	46, 48, 59, 86
task.py	17	2	88%	30, 37
credoai/prism/comparators
__init_.py	0	0	100%
comparator.py	17	3	82%	34, 42, 47
metric_comparator.py	44	2	95%	125, 131
credoai/utils
__init__.py	5	0	100%
common.py	104	33	68%	55, 72–73, 79, 88–95, 106–107, 124–130, 135, 140–145, 156–163, 190
constants.py	2	0	100%
dataset_utils.py	61	35	43%	23, 26–31, 50, 54–55, 88–119
logging.py	55	13	76%	10–11, 14, 19–20, 23, 27, 44, 58–62
model_utils.py	78	48	38%	11–12, 21–26, 38–39, 42–43, 48–53, 69–114, 120–127
version_check.py	15	3	80%	13–17
TOTAL	3218	625	81%