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Spring Boot Java applications for CICS, Part 1:...
in CICS Java SE 1.8 on the z/OS system Java SE 1.8 on the workstation...Java applications for CICS, Part 1: JCICS, Gradle, and Maven Develop...developer.ibm.com/tutorials/spring-boot-java-applications-for-cics-part-1-jcics-maven-gradle/ -
1.1. Linear Models — scikit-learn 1.7.2 d...
array([[1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 1]]) >>>... 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02,...scikit-learn.org/stable/modules/linear_model.html -
1.8. Cross decomposition — scikit-learn 1...
CCA and PLSSVD 1.8.1. PLSCanonical # We here describe...subtract the rank-1 approximations: \(X_{k+1} = X_k - \xi_k \gamma_k^T\)...scikit-learn.org/stable/modules/cross_decomposition.html -
1.12. Multiclass and multioutput algorithms ...
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...scikit-learn.org/stable/modules/multiclass.html -
1.4. Support Vector Machines — scikit-lea...
“0 vs 1”, “0 vs 2” , … “0 vs n”, “1 vs 2”, “1 vs 3”, “1 vs n”,...[[ 0 , 0 ], [ 1 , 1 ]] >>> y = [ 0 , 1 ] >>>...scikit-learn.org/stable/modules/svm.html -
1.10. Decision Trees — scikit-learn 1.7.2...
- 1 , np . nan , 1 ]) . reshape ( - 1 , 1 ) >>>...[[ 0 , 0 ], [ 1 , 1 ]] >>> Y = [ 0 , 1 ] >>>...scikit-learn.org/stable/modules/tree.html -
1.6. Nearest Neighbors — scikit-learn 1.7...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...scikit-learn.org/stable/modules/neighbors.html -
1.16. Probability calibration — scikit-le...
model [ 4 ] : \[p(y_i = 1 | f_i) = \frac{1}{1 + \exp(A f_i + B)} \,,\]...e.g. using many more features. 1.16.1. Calibration curves # Calibration...scikit-learn.org/stable/modules/calibration.html -
1.17. Neural network models (supervised) —...
[ 1. , 1. ]] >>> y = [[ 0 , 1 ], [ 1 , 1 ]] >>>...0. , 0. ], [ 1. , 1. ]] >>> y = [ 0 , 1 ] >>>...scikit-learn.org/stable/modules/neural_networks_supervised.html -
1.7. Gaussian Processes — scikit-learn 1....
1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...features exceeds a few dozens. 1.7.1. Gaussian Process Regression...scikit-learn.org/stable/modules/gaussian_process.html