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## Uses of Interface
org.encog.util.normalize.input.InputField

Packages that use InputField
org.encog.util.normalize |
org.encog.util.normalize.input |
org.encog.util.normalize.output |
org.encog.util.normalize.output.mapped |
org.encog.util.normalize.output.multiplicative |
org.encog.util.normalize.output.nominal |
org.encog.util.normalize.output.zaxis |
org.encog.util.normalize.segregate |

Uses of InputField in org.encog.util.normalize

Methods in org.encog.util.normalize that return InputField
`InputField` | `DataNormalization.findInputField(Class<?> clazz, int count)` Find an input field by its class.

Methods in org.encog.util.normalize that return types with arguments of type InputField
`List<InputField>` | `DataNormalization.getInputFields()`

Methods in org.encog.util.normalize with parameters of type InputField
`void` | `DataNormalization.addInputField(InputField f)` Add an input field.

Uses of InputField in org.encog.util.normalize.input

Classes in org.encog.util.normalize.input that implement InputField
`class` | `BasicInputField` Provides basic functionality, such as min/max and current value for other input fields.
`class` | `InputFieldArray1D` An input field that comes from a 1D array.
`class` | `InputFieldArray2D` An input field that comes from a 2D array.
`class` | `InputFieldCSV` An input field based on a CSV file.
`class` | `InputFieldEncogCollection`
`class` | `InputFieldMLDataSet` An input field based on an Encog NeuralDataSet.

Uses of InputField in org.encog.util.normalize.output

Methods in org.encog.util.normalize.output that return InputField
`InputField` | `OutputFieldRangeMapped.getField()`
`InputField` | `OutputFieldGrouped.getSourceField()`

Constructors in org.encog.util.normalize.output with parameters of type InputField
`OutputFieldDirect(InputField sourceField)` Construct a direct output field.
`OutputFieldGrouped(OutputFieldGroup group, InputField sourceField)` Construct a grouped output field.
`OutputFieldRangeMapped(InputField f)` Create a range field with -1 and 1 as low/high.
`OutputFieldRangeMapped(InputField field, double low, double high)` Construct a range mapped output field.

Uses of InputField in org.encog.util.normalize.output.mapped

Methods in org.encog.util.normalize.output.mapped that return InputField
`InputField` | `OutputFieldEncode.getSourceField()`

Constructors in org.encog.util.normalize.output.mapped with parameters of type InputField
`OutputFieldEncode(InputField sourceField)` Construct an encoded field.

Uses of InputField in org.encog.util.normalize.output.multiplicative

Constructors in org.encog.util.normalize.output.multiplicative with parameters of type InputField
`OutputFieldMultiplicative(OutputFieldGroup group, InputField field)` Construct a multiplicative output field.

Uses of InputField in org.encog.util.normalize.output.nominal

Methods in org.encog.util.normalize.output.nominal that return InputField
`InputField` | `NominalItem.getInputField()`

Methods in org.encog.util.normalize.output.nominal with parameters of type InputField
`void` | `OutputEquilateral.addItem(InputField inputField, double value)` Add a nominal value based on a single value.
`void` | `OutputOneOf.addItem(InputField inputField, double value)` Add a nominal value specifying a single value, the high and low values will be 0.5 below and 0.5 above.
`void` | `OutputEquilateral.addItem(InputField inputField, double low, double high)` Add a nominal item based on a range.
`void` | `OutputOneOf.addItem(InputField inputField, double low, double high)` Add a nominal item, specify the low and high values.

Constructors in org.encog.util.normalize.output.nominal with parameters of type InputField
`NominalItem(InputField inputField, double low, double high)` Create a nominal item.

Uses of InputField in org.encog.util.normalize.output.zaxis

Constructors in org.encog.util.normalize.output.zaxis with parameters of type InputField
`OutputFieldZAxis(OutputFieldGroup group, InputField field)` Construct a ZAxis output field.

Uses of InputField in org.encog.util.normalize.segregate

Methods in org.encog.util.normalize.segregate that return InputField
`InputField` | `RangeSegregator.getSourceField()`
`InputField` | `IntegerBalanceSegregator.getTarget()`

Constructors in org.encog.util.normalize.segregate with parameters of type InputField
`IntegerBalanceSegregator(InputField target, int count)` Construct an integer balance segregator.
`RangeSegregator(InputField sourceField, boolean include)` Construct a range segregator.

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