Last data update: 2014.03.03

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CranContrib
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Results 1 - 10 of 18 found.
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initialize,simulatedDAG-method (Package: D2C) : creation of a "simulatedDAG" containing a list of DAGs and associated observations

creation of a "simulatedDAG" containing a list of DAGs and associated observations
● Data Source: CranContrib
● Keywords:
● Alias: initialize,simulatedDAG-method
● 0 images

descriptor (Package: D2C) : compute descriptor

compute descriptor
● Data Source: CranContrib
● Keywords:
● Alias: descriptor
● 0 images

mimr (Package: D2C) : mIMR (minimum Interaction max Relevance) filter

Filter based on information theory which aims to prioritise direct causal relationships in feature selection problems where the ratio between the number of features and the number of samples is high. The approach is based on the notion of interaction which is informative about the relevance of an input subset as well as its causal relationship with the target.
● Data Source: CranContrib
● Keywords:
● Alias: mimr
● 0 images

compute,DAG.network-method (Package: D2C) : compute N samples according to the network distribution

compute N samples according to the network distribution
● Data Source: CranContrib
● Keywords:
● Alias: compute,DAG.network-method
● 0 images

true.net (Package: D2C) : Adjacency matrix of the Alarm dataset

contains the adjacency matrix of the Alarm DAG. See the vignette for an utilization of the dataset
● Data Source: CranContrib
● Keywords: data
● Alias: true.net
● 0 images

D2C-class (Package: D2C) : An S4 class to store the RF model trained on the basis of the descriptors of NDAG DAGs

An S4 class to store the RF model trained on the basis of the descriptors of NDAG DAGs
● Data Source: CranContrib
● Keywords:
● Alias: D2C-class
● 0 images

initialize,DAG.network-method (Package: D2C) : creation of a DAG.network

creation of a DAG.network
● Data Source: CranContrib
● Keywords:
● Alias: initialize,DAG.network-method
● 0 images

initialize,D2C.descriptor-method (Package: D2C) : creation of a D2C.descriptor

creation of a D2C.descriptor
● Data Source: CranContrib
● Keywords:
● Alias: initialize,D2C.descriptor-method
● 0 images

BER (Package: D2C) : Balanced Error Rate

The balanced error rate is the average of the errors on each class: BER = 0.5*(FP/(TN+FP) + FN/(FN+TP)).
● Data Source: CranContrib
● Keywords:
● Alias: BER
● 0 images

updateD2C,D2C-method (Package: D2C) : update of a "D2C" with a list of DAGs and associated observations

update of a "D2C" with a list of DAGs and associated observations
● Data Source: CranContrib
● Keywords:
● Alias: updateD2C,D2C-method
● 0 images