AML KPCA Properties

LabVIEW 2018 Analytics and Machine Learning Toolkit Help

Edition Date: July 2018

Part Number: 377059B-01

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Wire the KPCA model info output of the KPCA VI to the reference input of a standard Property Node to get an AML KPCA Property Node. This Property Node has the following properties:

Property Access Data Type Description
Eigenvectors Read Only

Returns the eigenvectors to calculate the principal components. The number of rows equals the number of features of the training data. The KPCA model uses a subset of the eigenvectors of the covariance matrix to calculate the principal components in the input data.
Kernel Settings Read Only

Returns the settings to configure the kernel function.
Number of Selected Components Read Only

Returns the number of principal components.
PCA Settings Read Only

Returns the method and value to calculate the number of principal components.
Source Data Read Only

Returns the training data for the KPCA model.
Variance Read Only

Returns the variance of the principal components. The number of rows equals the number of principal components.

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