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Gaussian Mixture Model Sine Curve — scikit-lear...
eigh ( covar ) v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v )...mean_precision_prior = 1e-2 , covariance_prior = 1e0 * np . eye ( 2 ), init_params...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
Comparing Nearest Neighbors with and without Ne...
2 ]] X_train , X_test , y_train...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html -
移行 0.9.6.1 to 0.9.6.2 | DBFlute
2 お約束の注意点 環境上の注意点 実装上の注意点 お約束の注意点...dbflute.seasar.org/ja/environment/upgrade/migration/migrate0961to0962.html -
Principal Component Analysis (PCA) on Iris Data...
2 import mpl_toolkits.mplot3d #...X_reduced [:, 1 ], X_reduced [:, 2 ], c = iris . target , s = 40...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
Crafting a minimal reproducer for scikit-learn ...
n_features = 2 , n_redundant = 0 , n_informative = 2 , n_clusters_per_class...n_features ) y = rng . randint ( 0 , 2 , n_samples ) # binary target...scikit-learn.org/stable/developers/minimal_reproducer.html -
Label Propagation circles: Learning a complex s...
title ( "Raw data (2 classes=outer and inner)" ) The...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html -
mean_gamma_deviance — scikit-learn 1.7.2 docume...
= [ 2 , 0.5 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...with the power parameter power=2 . It is invariant to scaling of...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html -
Comparing Linear Bayesian Regressors — scikit-l...
This example compares two different bayesian regressors: a Automatic Relevance Determination - ARD, a Bayesian Ridge Regression. In the first part, we use an Ordinary Least Squares(OLS) model as a ...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Demo of DBSCAN clustering algorithm — scikit-le...
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) finds core samples in regions of high density and expands clusters from them. This algorithm is good for data which contains clu...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html -
OOB Errors for Random Forests — scikit-learn 1....
The RandomForestClassifier is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the training observations z_i = (x_i, y_i). The out-of-bag(OOB) error is the...scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html