Object

scalismo.statisticalmodel.dataset

PCAModel

Related Doc: package dataset

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object PCAModel

Implements utility functions for building a StatisticalMeshModel from a DataCollection containing a reference and items in correspondence. This object is deprecated and its methods moved to StatisticalMeshModel. The object will be removed in future versions.

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@deprecated
Deprecated

(Since version 0.10.0) Functionality of this object has been moved to StatisticalMeshModel object. This object wil be removed in future versions.

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Deprecated Value Members

  1. def augmentModel(pcaModel: StatisticalMeshModel, biasModel: GaussianProcess[_3D, _3D], numBasisFunctions: Int): StatisticalMeshModel

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    Adds a bias model to the given pca model

    Adds a bias model to the given pca model

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    @deprecated
    Deprecated

    (Since version 0.10.0) Use method in StatisticalMeshModel object instead. This method and containing object wil be removed in future versions.

  2. def buildModelFromDataCollection(dc: DataCollection): Try[StatisticalMeshModel]

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    Returns a PCA model with given reference mesh and a set of items in correspondence.

    Returns a PCA model with given reference mesh and a set of items in correspondence. All points of the reference mesh are considered for computing the PCA

    Annotations
    @deprecated
    Deprecated

    (Since version 0.10.0) Use method in StatisticalMeshModel object instead. This method and containing object wil be removed in future versions.

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