MiningField
MiningFields also define the usage of each field (active, supplementary, target, ...) as well as policies for treating missing, invalid or outlier values.
- Value parameters:
- importance
States the relative importance of the field.
- invalidValueTreatment
Specifies how invalid input values are handled.
- missingValueReplacement
If this attribute is specified then a missing input value is automatically replaced by the given value. That is, the model itself works as if the given value was found in the original input. For example the surrogate operator in TreeModel does not apply if the MiningField specifies a replacement value.
- missingValueTreatment
This field is for information only.
- name
Symbolic name of field, must refer to a field in the scope of the parent of the MiningSchema's model element.
- opType
The attribute value overrides the corresponding value in the DataField. That is, a DataField can be used with different optypes in different models. For example, a 0/1 indicator could be used as a numeric input field in a regression model while the same field is used as a categorical field in a tree model.
Value members
Inherited methods
Tests whether this field is input, true for active and group that is used by the association model.
Tests whether this field is input, true for active and group that is used by the association model.
- Inherited from:
- HasUsageType
Tests whether this field is target, true for target and predicted
Tests whether this field is target, true for target and predicted
- Inherited from:
- HasUsageType