#
MiningNodeType
MiningNodeType
MiningNodeType
Enum

## Definition

Represents the type of the MiningContentNode.

`public enum class MiningNodeType`

`public enum MiningNodeType`

`Public Enum MiningNodeType`

- Inheritance

## Fields

ArimaAutoRegressive ArimaAutoRegressive ArimaAutoRegressive | 29 | The node that contains the autoregressive coefficient for a single term in an ARIMA model. (29) |

ArimaMovingAverage ArimaMovingAverage ArimaMovingAverage | 30 | The node that contains the moving average coefficient for a single term in an ARIMA model. (30) |

ArimaPeriodicStructure ArimaPeriodicStructure ArimaPeriodicStructure | 28 | The node that represents a periodic structure in an ARIMA model. (28) |

ArimaRoot ArimaRoot ArimaRoot | 27 | The root node of an ARIMA model. (27) |

AssociationRule AssociationRule AssociationRule | 8 | The node represents an association rule detected by the algorithm. (8) |

Cluster Cluster Cluster | 5 | The node represents a cluster detected by the algorithm. (5) |

CustomBase CustomBase CustomBase | 1000 | Represents the starting point for custom node types. Custom node types must be integers greater in value than this constant. (1000) This type is used by plug-in algorithms. |

Distribution Distribution Distribution | 4 | The node represents a leaf of a classification tree. (4) |

InputAttribute InputAttribute InputAttribute | 10 | The node corresponds to a predictable attribute. (10) |

InputAttributeState InputAttributeState InputAttributeState | 11 | The node contains statistics about the states of an input attribute. (11) |

Interior Interior Interior | 3 | The node represents an interior split node in a classification tree. (3) |

ItemSet ItemSet ItemSet | 7 | The node represents an itemset detected by the algorithm. (7) |

Model Model Model | 1 | The root content node. This node applies to all algorithms. (1) |

NaiveBayesMarginalStatNode NaiveBayesMarginalStatNode NaiveBayesMarginalStatNode | 26 | The node containing marginal statistics about the training set, stored in a format used by the Naïve Bayes algorithm. (26) |

NNetHiddenLayer NNetHiddenLayer NNetHiddenLayer | 19 | The node that groups together the nodes that describe the hidden layer. This type is used with neural network algorithms. (19) |

NNetHiddenNode NNetHiddenNode NNetHiddenNode | 22 | The node is a node of the hidden layer. This type is used with neural network algorithms. (22) |

NNetInputLayer NNetInputLayer NNetInputLayer | 18 | The node that groups together the nodes of the input layer. This type is used with neural network algorithms. (18) |

NNetInputNode NNetInputNode NNetInputNode | 21 | The node is a node of the input layer. This node will usually match an input attribute and the corresponding states. This type is used with neural network algorithms. (21) |

NNetMarginalNode NNetMarginalNode NNetMarginalNode | 24 | The node containing marginal statistics about the training set, stored in a format used by the algorithm. This type is used with neural network algorithms. (24) |

NNetOutputLayer NNetOutputLayer NNetOutputLayer | 20 | The node that groups together the nodes of the output layer. This type is used with neural network algorithms. (21) |

NNetOutputNode NNetOutputNode NNetOutputNode | 23 | The node is a node of the output layer. This node will usually match an output attribute and the corresponding states. This type is used with neural network algorithms. (23) |

NNetSubnetwork NNetSubnetwork NNetSubnetwork | 17 | The node contains one sub-network. This type is used with neural network algorithms. (17) |

PredictableAttribute PredictableAttribute PredictableAttribute | 9 | The node corresponds to a predictable attribute. (9) |

RegressionTreeRoot RegressionTreeRoot RegressionTreeRoot | 25 | The node is the root of a regression tree. (25) |

Sequence Sequence Sequence | 13 | The top node for a Markov model component of a sequence cluster. This node will have a node of type Cluster as a parent, and children of type Transition. (13) |

TimeSeries TimeSeries TimeSeries | 15 | The non-root node of a time series tree. (15) |

Transition Transition Transition | 14 | The node representing a row of a Markov transition matrix. This node will have a node of type Sequence as a parent, and no children. (14) |

Tree Tree Tree | 2 | The node is the root node of a classification tree. (2) |

TsTree TsTree TsTree | 16 | The root node of a time series tree that corresponds to a predictable time series. (16) |

Unknown Unknown Unknown | 6 | An unknown node type. (6) |

## Remarks

When you retrieve nodes from mining model content, the node type may be returned as an integer value that represents the enumeration. These integer values are provided in parentheses.