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AdaptiveThreshold

Calculate adaptive threshold.

Calculate threshold based on the following equation: Th = MED + alpha x MAD x 1.4826, where MED is the median of the given data, MAD is median absolute deviation, and alpha and beta are constant. The default values for alpha and beta based on [1] set to: alpha = 3 [1] https://pdfs.semanticscholar.org/07be/e9c26ac092bd8ea1c0b907fb6eabba145ce4.pdf Version 1.0.0

Ports/Properties

data

Data to process.

  • verbose name: Data
  • default value: None
  • port type: DataPort
  • value type: Packet (can be None)
  • data direction: IN

outdata

Calculated threshold.

  • verbose name: Outdata
  • default value: None
  • port type: DataPort
  • value type: float (can be None)
  • data direction: OUT

alpha

Threshold in (robust) standard deviations.

  • verbose name: Alpha
  • default value: 3.0
  • port type: FloatPort
  • value type: float (can be None)

set_breakpoint

Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.

  • verbose name: Set Breakpoint (Debug Only)
  • default value: False
  • port type: BoolPort
  • value type: bool (can be None)

metadata

User-definable meta-data associated with the node. Usually reserved for technical purposes.

  • verbose name: Metadata
  • default value: {}
  • port type: DictPort
  • value type: dict (can be None)