Warn user on automatic modify of algorithm or parameters

[devinaconley]

Please throw a warning message to the user when automatically modifying parameters or algorithms. Doing this silently makes it extremely difficulty to debug and fine-tune.

luminol/src/luminol/algorithms/anomaly_detector_algorithms/bitmap_detector.py

Lines 60 to 73 in 42e4ab9

	def _sanity_check(self):
	"""
	Check if there are enough data points.
	"""
	windows = self.lag_window_size + self.future_window_size
	if (not self.lag_window_size or not self.future_window_size or self.time_series_length < windows or windows < DEFAULT_BITMAP_MINIMAL_POINTS_IN_WINDOWS):
	raise exceptions.NotEnoughDataPoints
	# If window size is too big, too many data points will be assigned a score of 0 in the first lag window
	# and the last future window.
	if self.lag_window_size > DEFAULT_BITMAP_MAXIMAL_POINTS_IN_WINDOWS:
	self.lag_window_size = DEFAULT_BITMAP_MAXIMAL_POINTS_IN_WINDOWS
	if self.future_window_size > DEFAULT_BITMAP_MAXIMAL_POINTS_IN_WINDOWS:
	self.future_window_size = DEFAULT_BITMAP_MAXIMAL_POINTS_IN_WINDOWS

luminol/src/luminol/anomaly_detector.py

Lines 91 to 104 in 42e4ab9

	def _detect(self, score_only):
	"""
	Detect anomaly periods.
	:param bool score_only: if true, only anomaly scores are computed.
	"""
	try:
	algorithm = self.algorithm(**self.algorithm_params)
	self.anom_scores = algorithm.run()
	except exceptions.NotEnoughDataPoints:
	algorithm = anomaly_detector_algorithms['default_detector'](self.time_series)
	self.threshold = self.threshold or ANOMALY_THRESHOLD['default_detector']
	self.anom_scores = algorithm.run()
	if not score_only:
	self._detect_anomalies()