PLSRegression(n_components=2, *, scale=True, max_iter=500, tol=1e-06, copy=True) PLS 回归。 PLSRegression 也称为 PLS2 或 PLS1,具体取决于目标的数量。 在用户指南中阅读更多信息。 参数: n_components:整数,默认=2 要保留的组件数。应该在 [1, min(n_sa
用法:class sklearn.cross_decomposition.PLSRegression(n_components=2, *, scale=True, max_iter=500, tol=1e-06, copy=True) 参数: 该函数接受被上述和下面定义的五个参数: n_components:<int>:其默认值为2,它接受需要保留的组件数。 规模:<布尔>:其缺省值为True,并且它接受是否缩放数据或没有。 max_...
Each row of YL contains coefficients that define a linear combination of PLS components approximating the original response variables. Data Types: single | double XS— Predictor scores numeric matrix Predictor scores, returned as a numeric matrix. XS is an n-by-ncomp orthonormal matrix, where n ...
第五步,将样本点投影到选取的特征向量上。假设样例数为m,特征数为n,减去均值后的样本矩阵为DataAdjust(m*n),协方差矩阵是n*n,选取的k个特征向量组成的矩阵为EigenVectors(n*k)。那么投影后的数据FinalData为 这里是 FinalData(10*1) = DataAdjust(10*2矩阵)×特征向量 得到结果是 这样,就将原始样例的n维特...
Rutledge.Principal components transform partial least squares: a novel method to accelerate cross-validation in PLS regression. Chemometrics and Intelligent Laboratory Systems . 2004António S. Barros,Douglas N. Rutledge.Principal components transform-partial least squares: a novel method to accelerate ...
score matrix (N∗A), where the columns are ua wa PLSR X-weights of component a W the (K∗A) X-weight matrix; wa are columns in this matrix wa* PLSR weights transformed to be independent between components W* (K∗A) matrix of transformed PLSR weights; wa* are columns in W*....
N Engl J Med. 2002;347(25):1999–2009. 7. Zhao Q, Shi X, Xie Y, Huang J, Shia B, Ma S. Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA. Brief Bioinform. 2014;16(2):291–303. 8. Massy WF. Principal components regression in ...
Each row of YL contains coefficients that define a linear combination of PLS components approximating the original response variables. Data Types: single | double XS— Predictor scores numeric matrix Predictor scores, returned as a numeric matrix. XS is an n-by-ncomp orthonormal matrix, where n ...
Number of components, specified as a numeric vector. If you do not specifyncomp, the default value ismin(size(X,1) – 1,size(X,2)). Data Types:single|double Name-Value Arguments Specify optional pairs of arguments asName1=Value1,...,NameN=ValueN, whereNameis the argument name andValu...
Number of components, specified as a numeric vector. If you do not specifyncomp, the default value ismin(size(X,1) – 1,size(X,2)). Data Types:single|double Name-Value Arguments Specify optional pairs of arguments asName1=Value1,...,NameN=ValueN, whereNameis the argument name andValu...