Libraries/Microsoft.ML.PCA.xml
|
<?xml version="1.0"?>
<doc> <assembly> <name>Microsoft.ML.PCA</name> </assembly> <members> <member name="T:Microsoft.ML.Runtime.PCA.RandomizedPcaTrainer"> <summary> This trainer trains an approximate PCA using Randomized SVD algorithm Reference: http://web.stanford.edu/group/mmds/slides2010/Martinsson.pdf </summary> <remarks> This PCA can be made into Kernel PCA by using Random Fourier Features transform </remarks> </member> <member name="M:Microsoft.ML.Runtime.PCA.RandomizedPcaTrainer.PostProcess(Microsoft.ML.Runtime.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Int32,System.Int32)"> <summary> Modifies <paramref name="y"/> in place so it becomes <paramref name="y"/> * eigenvectors / eigenvalues. </summary> </member> <member name="T:Microsoft.ML.Runtime.PCA.PcaPredictor"> <summary> An anomaly detector using PCA. - The algorithm uses the top eigenvectors to approximate the subspace containing the normal class - For each new instance, it computes the norm difference between the raw feature vector and the projected feature on that subspace. - - If the error is close to 0, the instance is considered normal (non-anomaly). </summary> </member> <member name="M:Microsoft.ML.Runtime.PCA.PcaPredictor.GetEigenVectors(Microsoft.ML.Runtime.Data.VBuffer{System.Single}[]@,System.Int32@)"> <summary> Copies the top eigenvectors of the covariance matrix of the training data into a set of buffers. </summary> <param name="vectors">A possibly reusable set of vectors, which will be expanded as necessary to accomodate the data.</param> <param name="rank">Set to the rank, which is also the logical length of <paramref name="vectors"/>.</param> </member> <member name="M:Microsoft.ML.Runtime.PCA.PcaPredictor.GetMean(Microsoft.ML.Runtime.Data.VBuffer{System.Single}@)"> <summary> Copies the mean vector of the training data. </summary> </member> <member name="M:Microsoft.ML.Runtime.Data.PcaTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.Data.PcaTransform.Arguments,Microsoft.ML.Runtime.Data.IDataView)"> <summary> Public constructor corresponding to SignatureDataTransform. </summary> </member> </members> </doc> |