facebookresearch / Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

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Tutorial 202 detection BOCPDetector parameter error

yannmean opened this issue · comments

Hi, there!

We are trying to run through tutorial 202, however, encountered the following error. Could you please kindly help? thanks!

Exception Traceback (most recent call last)
Cell In[37], line 1
----> 1 changepoints = bocpd_detector.detector(
2 model=BOCPDModelType.NORMAL_KNOWN_MODEL, # this is the default choice
3 choose_priors=True,
4 changepoint_prior=0.01
5 )

BOCPDetector.detector(self, model, model_parameters, lag, choose_priors, changepoint_prior, threshold, debug, agg_cp)
364 assert isinstance(
365 model_parameters, self.parameter_type[model]
366 ), f"Expected parameter type {self.parameter_type[model]}, but got {model_parameters}"
368 if choose_priors:
--> 369 changepoint_prior, model_parameters = self._choose_priors(
370 model, model_parameters
371 )
373 if getattr(model_parameters, "data", 0) is None:
374 model_parameters.data = self.data
...
394 if len(data) > 0
395 else cls.data_constructor()
396 )

Exception: []

tried several other ways... I just don't understand it anymore...

I did the following:

`from kats.detectors.bocpd import BOCPDetector, BOCPDModelType, NormalKnownParameters'

'bocpd_detector = BOCPDetector(ts_bocpd)'

'changepoints = bocpd_detector.detector(
model=BOCPDModelType.NORMAL_KNOWN_MODEL, # this is the default choice
model_parameters=NormalKnownParameters
)`

But the error says: AssertionError: Expected parameter type <class 'kats.detectors.bocpd.NormalKnownParameters'>, but got <class 'kats.detectors.bocpd.NormalKnownParameters'>

I just don't see the difference between <class 'kats.detectors.bocpd.NormalKnownParameters'> and the latter <class 'kats.detectors.bocpd.NormalKnownParameters'>

Please, anyone?