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Comparison of LDA and PCA 2D projection of Iris...
[ y == i , 0 ], X_r2 [ y == i , 1 ], alpha = 0.8 , color = color...( X_r [ y == i , 0 ], X_r [ y == i , 1 ], color = color , alpha...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
MDS — scikit-learn 1.7.2 documentation
n_components = 2 , * , metric = True , n_init = 'warn' , max_iter = 300...verbose = 0 , eps = 1e-06 , n_jobs = None , random_state = None...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
lars_path — scikit-learn 1.7.2 documentation
alpha_min = 0 , method = 'lar' , copy_X = True , eps = np.float64...X , y , Xy = None , * , Gram = None , max_iter = 500 , alpha_min...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
ermaster-b-eclipse-plugin.zip
obj) { if (this == obj) { return true; } if (obj == null) { return...(@physicalColumnName == null) { if (other.@physicalColumnName != null) { return...dbflute.seasar.org/download/misc/friends/ermaster-b-eclipse-plugin.zip -
OPTICS — scikit-learn 1.7.2 documentation
min_samples = 5 , max_eps = inf , metric = 'minkowski' , p = 2 , metric_params...metric_params = None , cluster_method = 'xi' , eps = None , xi = 0.05...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
DecisionTreeClassifier — scikit-learn 1.7.2 doc...
criterion = 'gini' , splitter = 'best' , max_depth = None , min_samples_split...min_weight_fraction_leaf = 0.0 , max_features = None , random_state = None , max_leaf_nodes...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
NuSVR — scikit-learn 1.7.2 documentation
nu = 0.5 , C = 1.0 , kernel = 'rbf' , degree = 3 , gamma...gamma = 'scale' , coef0 = 0.0 , shrinking = True , tol = 0.001 ,...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
CalibratedClassifierCV — scikit-learn 1.7.2 doc...
estimator = None , * , method = 'sigmoid' , cv = None , n_jobs = None..., y = make_classification ( n_samples = 100 , n_features = 2 ,...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
getting_started.rst.txt
Getting Started ========== ``Scikit-learn`` is an open source...>>> clf = RandomForestClassifi(random_state=0) >>> X = [[ 1, 2,...scikit-learn.org/stable/_sources/getting_started.rst.txt -
LogisticRegression — scikit-learn 1.7.2 documen...
penalty = 'l2' , * , dual = False , tol = 0.0001 , C = 1.0 , fit_intercept...fit_intercept = True , intercept_scaling = 1 , class_weight = None ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html