Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not allowed. The methods available to fill in irregular gaps or edges are: by Previous value, by Mean value, or by specific numerical constant. This parameter is used only for incomplete rows of input data.
Specifies the measure used to resolve a Multidimensional Expressions (MDX) expression if a measure is not explicitly referenced ...
Specifies the metadata cached for the linking object, as well as the behavior upon any changes to the underlying linked object. ...
Specifies the method used to calculate the split score. The available methods are: Entropy (1), Bayesian with K2 Prior (3), ...
Specifies the method used to discretize (group) the members of the attribute. The number of buckets created by discretizing ...
Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not ...
Specifies the minimum dependency probability between input and output attributes. This value is used to limit the size of ...
Specifies the minimum number of cases that a leaf node must contain. Setting this value to less than 1 specifies the minimum ...
Specifies the minimum number of cases that must contain the itemset before generating a rule. Setting this value to less ...
Specifies the minimum probability that a rule is true. For example, setting this value to 0.5 specifies that no rule with ...