original_docstring: Performs image regression analysis on two input images.
  
          Keyword arguments:
  
          input1 -- Input raster file (independent variable, X). 
          input2 -- Input raster file (dependent variable, Y). 
          output -- Output HTML file for regression summary report. 
          out_residuals -- Output raster regression resdidual file. 
          standardize -- Optional flag indicating whether to standardize the residuals map. 
          callback -- Custom functon for handling tool text outputs.
          
docstring: Performs image regression analysis on two input images.
  Keyword arguments.
  
  - Input raster file (independent variable, X).
  input2 -- Input raster file (dependent variable, Y).
  output -- Output HTML file for regression summary report.
  out_residuals -- Output raster regression resdidual file.
  standardize -- Optional flag indicating whether to standardize the residuals map.
  callback -- Custom functon for handling tool text outputs.
docstring_tokens: Performs image regression analysis on two input images . Keyword arguments . - Input raster file ( independent variable X ) . input2 -- Input raster file ( dependent variable Y ) . output -- Output HTML file for regression summary report . out_residuals -- Output raster regression resdidual file . standardize -- Optional flag indicating whether to standardize the residuals map . callback -- Custom functon for handling tool text outputs .
code: def image_regression(self, input1, input2, output, out_residuals=None, standardize=False, callback=default_callback):
          """Performs image regression analysis on two input images.
  
          Keyword arguments:
  
          input1 -- Input raster file (independent variable, X). 
          input2 -- Input raster file (dependent variable, Y). 
          output -- Output HTML file for regression summary report. 
          out_residuals -- Output raster regression resdidual file. 
          standardize -- Optional flag indicating whether to standardize the residuals map. 
          callback -- Custom functon for handling tool text outputs.
          """
          args = []
          args.append("--input1='{}'".format(input1))
          args.append("--input2='{}'".format(input2))
          args.append("--output='{}'".format(output))
          if out_residuals is not None: args.append("--out_residuals='{}'".format(out_residuals))
          if standardize: args.append("--standardize")
          return self.run_tool('image_regression', args, callback)
code_tokens: def image_regression ( self , input1 , input2 , output , out_residuals = None , standardize = False , callback = default_callback ) : args = [ ] args . append ( "--input1='{}'" . format ( input1 ) ) args . append ( "--input2='{}'" . format ( input2 ) ) args . append ( "--output='{}'" . format ( output ) ) if out_residuals is not None : args . append ( "--out_residuals='{}'" . format ( out_residuals ) ) if standardize : args . append ( "--standardize" ) return self . run_tool ( 'image_regression' , args , callback )
short_docstring: Performs image regression analysis on two input images.
short_docstring_tokens: Performs image regression analysis on two input images .
comment: """Performs image regression analysis on two input images.
  
          Keyword arguments:
  
          input1 -- Input raster file (independent variable, X). 
          input2 -- Input raster file (dependent variable, Y). 
          output -- Output HTML file for regression summary report. 
          out_residuals -- Output raster regression resdidual file. 
          standardize -- Optional flag indicating whether to standardize the residuals map. 
          callback -- Custom functon for handling tool text outputs.
          """