Test coverage

[saiwing-yeung]

In the contributing guidelines it says test coverage should be at least 70%. But I just pulled from master and I only got 63%. Is this expected and if not, how can I diagnose the issue? Thanks!

---------- coverage: platform darwin, python 3.8.10-final-0 ----------
Name                                      Stmts   Miss  Cover
-------------------------------------------------------------
causalml/__init__.py                          3      0   100%
causalml/dataset/__init__.py                 14      0   100%
causalml/dataset/classification.py           73     20    73%
causalml/dataset/regression.py               54      0   100%
causalml/dataset/synthetic.py               244    103    58%
causalml/feature_selection/__init__.py        1      1     0%
causalml/feature_selection/filters.py       148    148     0%
causalml/features.py                         85     10    88%
causalml/inference/__init__.py                0      0   100%
causalml/inference/iv/__init__.py             2      0   100%
causalml/inference/iv/drivlearner.py        257     58    77%
causalml/inference/iv/iv_regression.py       17      8    53%
causalml/inference/meta/__init__.py           6      0   100%
causalml/inference/meta/base.py              71     17    76%
causalml/inference/meta/drlearner.py        194     41    79%
causalml/inference/meta/explainer.py        101     80    21%
causalml/inference/meta/rlearner.py         214     64    70%
causalml/inference/meta/slearner.py         178     27    85%
causalml/inference/meta/tlearner.py         170     28    84%
causalml/inference/meta/tmle.py              98     22    78%
causalml/inference/meta/utils.py             45     21    53%
causalml/inference/meta/xlearner.py         252     44    83%
causalml/inference/nn/__init__.py             2      0   100%
causalml/inference/nn/cevae.py               29      3    90%
causalml/inference/nn/dragonnet.py           65     48    26%
causalml/inference/nn/utils.py               52     38    27%
causalml/inference/tree/__init__.py           5      0   100%
causalml/inference/tree/models.py           456    150    67%
causalml/inference/tree/plot.py             100     95     5%
causalml/inference/tree/utils.py             43     36    16%
causalml/match.py                           184     40    78%
causalml/metrics/__init__.py                  7      0   100%
causalml/metrics/classification.py           11      4    64%
causalml/metrics/const.py                     1      0   100%
causalml/metrics/regression.py               41      3    93%
causalml/metrics/sensitivity.py             257     50    81%
causalml/metrics/visualize.py               299    237    21%
causalml/optimize/__init__.py                 4      0   100%
causalml/optimize/policylearner.py           54     39    28%
causalml/optimize/unit_selection.py          90     45    50%
causalml/optimize/utils.py                   26      4    85%
causalml/optimize/value_optimization.py      30      3    90%
causalml/propensity.py                       74      4    95%
-------------------------------------------------------------
TOTAL                                      4057   1491    63%

========================================================= 55 passed, 17 warnings in 509.75s (0:08:29) ==========================================================

[jeongyoonlee]

I see the same coverage. It used to be over 70%, but seems that it has gone down with later updates. We will mandate the tests to be added in PRs to improve it. Thanks.