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_...
PCA的思想是将n维特征映射到k维上(k<n),这k维是全新的正交特征。这k维特征称为主元,是重新构造出来的k维特征,而不是简单地从n维特征中去除其余n-k维特征。 2. PCA计算过程 首先介绍PCA的计算过程: 假设我们得到的2维数据如下: 行代表了样例,列代表特征,这里有10个样例,每个样例两个特征。可以这样认为,有...
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 in a PC or PLS model i index of objects (observations, cases); (i=1,2,…,N) N number of objects (cases, observations) k index of X-variables (k=1,2,…,K) m index of Y-variables (m=1,2,…,M) X matrix of predictor variables, size (N∗K) Y matrix ...
Principal components transform-partial least squares: a novel method to accelerate cross-validation in PLS regression[J] . António S. Barros,Douglas N. Rutledge.Chemometrics and Intelligent Laboratory Systems . 2004 (2)Barros, A.S.; Rutledge, D.N.; «Principal Components Transform - Partial ...
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...