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Missing Value Imputation — scikit-learn 1.7.1 d...
Ctrl + K GitHub Choose version Missing Value Imputation # Examples...concerning the sklearn.impute module. Imputing missing values...scikit-learn.org/stable/auto_examples/impute/index.html -
Nearest Neighbors — scikit-learn 1.7.1 document...
Factor (LOF) Novelty detection with Local Outlier Factor (LOF) Outlier...Factor (LOF) Outlier detection with Local Outlier Factor (LOF) Simple...scikit-learn.org/stable/auto_examples/neighbors/index.html -
RandomForestRegressor — scikit-learn 1.7.1 docu...
“absolute_error”, “friedman_mse”, “poisson”}, default=”squared_error” The...changed from 10 to 100 in 0.22. criterion {“squared_error”, “absolute_error”,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
Support Vector Machines — scikit-learn 1.7.1 do...
sklearn.svm module. One-class SVM with non-linear kernel (RBF) One-class...One-class SVM with non-linear kernel (RBF) Plot classification...scikit-learn.org/stable/auto_examples/svm/index.html -
1.14. Semi-supervised learning — scikit-learn 1...
gamma. knn ( \(1[x' \in kNN(x)]\) ). \(k\) is specified by keyword...gains. See here for more details. 1.14.1. Self Training # This...scikit-learn.org/stable/modules/semi_supervised.html -
1.7. Gaussian Processes — scikit-learn 1.7.1 do...
one-versus-one. 1.7.3. GPC examples # 1.7.3.1. Probabilistic predictions...variance \(\text{Var}[f_*]\) described in Eqs. (3.21) and (3.24) of...scikit-learn.org/stable/modules/gaussian_process.html -
1.2. Linear and Quadratic Discriminant Analysis...
\left(-\frac{1}{2} (x-\mu_k)^t \Sigma_k^{-1} (x-\mu_k)\right)\]...(x-\mu_k)\right)\] where \(d\) is the number of features. 1.2.2.1. QDA # According...scikit-learn.org/stable/modules/lda_qda.html -
2.9. Neural network models (unsupervised) — sci...
belief nets” , G. Hinton, S. Osindero, Y.-W. Teh, 2006 “Training...= \frac{1}{1 + e^{-x}}\] 2.9.1.3. Stochastic Maximum Likelihood...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
RocCurveDisplay — scikit-learn 1.7.1 documentation
0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr , tpr , thresholds = metrics...np . array ([ 0 , 0 , 1 , 1 ]) >>> y_score = np . array ([ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
load_digits — scikit-learn 1.7.1 documentation
load_digits () >>> print ( digits . data . shape ) (1797, 64) >>> import...cmap = "gray" ) <...> >>> plt . show () Gallery examples # Recognizing...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html