# Params
inputfilename  = 'iris0000.csv'                  #filename input data
outputfilename = inputfilename + '.erg'       #filename output data
inputseparator = ';'                          #separator for csv columns
labelcolumn    = 4                            #column of label
columnfilter   = [0,1,2,3]                    #columns with features
columnflen     = len(columnfilter)            #count of features in data
featurecols    = [0,1,2,3]                    #selected Features
linefilter     = '[]'                         #linefilter: lines to ignore
firstrelpred   = 10                           #count of first neighbours in outputlist
rpdigits       = 4                            #relative prediction: number of digits after decimal point
dnnrange       = [0,1,2,3,4]                  #show different nearest neighbour range
col_names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species']
feature_col_names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width']
printseparator = '*'*80+'\n'
komma_thingy = ","
6e8831745e594195ac51ede6159ca770547e28ab
<mask token>

inputfilename = 'iris0000.csv'
outputfilename = inputfilename + '.erg'
inputseparator = ';'
labelcolumn = 4
columnfilter = [0, 1, 2, 3]
columnflen = len(columnfilter)
featurecols = [0, 1, 2, 3]
linefilter = '[]'
firstrelpred = 10
rpdigits = 4
dnnrange = [0, 1, 2, 3, 4]
col_names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width',
    'species']
feature_col_names = ['sepal_length', 'sepal_width', 'petal_length',
    'petal_width']
printseparator = '*' * 80 + '\n'
komma_thingy = ','

# Params
inputfilename  = 'iris0000.csv'                  #filename input data
outputfilename = inputfilename + '.erg'       #filename output data
inputseparator = ';'                          #separator for csv columns
labelcolumn    = 4                            #column of label
columnfilter   = [0,1,2,3]                    #columns with features
columnflen     = len(columnfilter)            #count of features in data
featurecols    = [0,1,2,3]                    #selected Features
linefilter     = '[]'                         #linefilter: lines to ignore
firstrelpred   = 10                           #count of first neighbours in outputlist
rpdigits       = 4                            #relative prediction: number of digits after decimal point
dnnrange       = [0,1,2,3,4]                  #show different nearest neighbour range
col_names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species']
feature_col_names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width']
printseparator = '*'*80+'\n'
komma_thingy = ","