forrester wave machine learning data catalogs

, the choice of the first variable, in the SMO algorithm overview I also introduced, is the least satisfied with the kkt condition of this problem, kkt conditions are as follows (Kkt is relative to each sample point is (Xi,yi)):　　　　　　　　　　　　　　　　　　G (xi) if the above-mentioned formulaThe selection of the first variable is the outer loop of the SMO, and in the process of inspection, the first step is to traverse all the sample points that satisfy the 0(2) followed by the choice of the second variab

basis of Common machine learning Data mining knowledge points SSE (Sum of squared error, squared error and) SSE=∑I=1N (Xi−x⎯⎯⎯) 2 sse=\sum_{i=1}^{n} (x_i-\overline{x}) ^2 SAE (sum of Absolute error, absolute error and) sae=∑i=1n| xi−x⎯⎯⎯| sae=\sum_{i=1}^{n}| x_i-\overline{x}| SRE (Sum of Relative error, relative error and) Sre=∑i=1nxi−x⎯⎯⎯x⎯⎯⎯sre=\sum_{i=1}^{n}{

(1))) Val Indexrowmatrix = new Indexedrowmatrix (RDD1)//convert Indexedrowmatrix to Blockmatrix, specify the number of rows per block Val Blockmatrix:bloc Kmatrix=indexrowmatrix. Toblockmatrix(2,2)//After the execution of the printed content://index: (0,0) Matrixcontent:2 x 2Cscmatrix//(1,0)20.0//(1,1)30.0Index: (1,1) Matrixcontent:2 x 1Cscmatrix//(0,0)70.0//(1,0)100.0Index: (1,0) Matrixcontent:2 x 2Cscmatrix//(0,0)50.0//(1,0)80.0//(0,1)60.0//(1,1)90.0Index: (0,1) Matrixcontent:2 x 1Cscmatrix//(

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