kats/detectors/bocpd.py (4 lines):
	- line 1386: self.a_0 = 0.1  # TODO find better priors?
	- line 1397: )  # TODO: Hack for getting around probabilities of 0 -- cap it at some minimum
	- line 1439: sigma_squared_distribution_variance = 1000  # TODO: we don't really know what the variance of sigma^2: Inv-Gamma(a, b) should be
	- line 1552: # TODO: use better priors


kats/detectors/dtwcpd.py (4 lines):
	- line 200: # TODO: vectorize + speed-up the below.
	- line 262: # TODO: vectorize
	- line 287: bsf = np.inf  # TODO: rename to upper/lower bound name
	- line 358: # TODO: vectorize


kats/detectors/cusum_detection.py (2 lines):
	- line 621: # TODO: Add support for interest windows
	- line 731: # TODO: replace pooled variance with sample variances before and


kats/consts.py (1 line):
	- line 764: # TODO: implement multivariate time series operation with constant


kats/models/stlf.py (1 line):
	- line 220: # TODO: create empirical uncertainty interval


kats/models/neural_prophet.py (1 line):
	- line 123: # TODO:


kats/utils/parameter_tuning_utils.py (1 line):
	- line 371: # TODO: remove raise error, then implement the default parameter


kats/models/globalmodel/utils.py (1 line):
	- line 1018: # TODO after ts2vec model lands