Name

adams.flow.transformer.PredictionEccentricity

Synopsis

Treats the predictions from a regressor as an image and computes the 'eccentricity' of the actual vs predicted plot. Generated values range from 1 to infinity with a value of 1 representing a circular shape.
Projects the predictions onto the specified grid, using the 'actual' for both axes.

For more details see:
https://en.wikipedia.org/wiki/Eccentricity_(mathematics)

Additional information

Flow input/output:
- input: adams.data.spreadsheet.SpreadSheet
- output: adams.flow.container.PredictionEccentricityContainer

Container information:
- adams.flow.container.PredictionEccentricityContainer:
   - Predictions: predictions; adams.data.spreadsheet.SpreadSheet
   - Eccentricity: eccentricity; java.lang.Double
   - Matrix: matrix; adams.data.image.BooleanArrayMatrixView

Options

• loggingLevel
  

  The logging level for outputting errors and debugging output.

  command-line	-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST>
  default	WARNING
  min-user-mode	Expert

  
  
• name
  

  The name of the actor.

  command-line	-name <java.lang.String>
  default	PredictionEccentricity

  
  
• annotations
  

  The annotations to attach to this actor.

  command-line	-annotation <adams.core.base.BaseAnnotation>
  default

  
  
• skip
  

  If set to true, transformation is skipped and the input token is just forwarded as it is.

  command-line	-skip <boolean>
  default	false

  
  
• stopFlowOnError
  

  If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors.

  command-line	-stop-flow-on-error <boolean>
  default	false
  min-user-mode	Expert

  
  
• silent
  

  If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.

  command-line	-silent <boolean>
  default	false
  min-user-mode	Expert

  
  
• actual
  

  The column with the actual values.

  command-line	-actual <adams.data.spreadsheet.SpreadSheetColumnIndex>
  default	Actual
  example	An index is a number starting with 1; column names (case-sensitive) as well as the following placeholders can be used: first, second, third, last_2, last_1, last; numeric indices can be enforced by preceding them with '#' (eg '#12'); column names can be surrounded by double quotes.

  
  
• predicted
  

  The column with the predicted values.

  command-line	-predicted <adams.data.spreadsheet.SpreadSheetColumnIndex>
  default	Predicted
  example	An index is a number starting with 1; column names (case-sensitive) as well as the following placeholders can be used: first, second, third, last_2, last_1, last; numeric indices can be enforced by preceding them with '#' (eg '#12'); column names can be surrounded by double quotes.

  
  
• grid
  

  The size of the grid to project the predictions onto.

  command-line	-grid <int>
  default	100
  minimum	1

  
  
• morphologies
  

  The morphologies to apply.

  command-line	-morphology <ERODE|DILATE> [-morphology ...]
  default	DILATE

  
  
• numCycles
  

  The number of cycles to apply.

  command-line	-num-cycles <int>
  default	1
  minimum	0