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LinearRegression — scikit-learn 1.8.0 doc...
2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>>...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
dbscan — scikit-learn 1.8.0 documentation
2 ], [ 2 , 2 ], [ 2 , 3 ], [ 8 , 7 ], [ 8...min_samples = 2 ) >>> core_samples array([0, 1, 2, 3, 4])...scikit-learn.org/stable/modules/generated/dbscan-function.html -
TransformedTargetRegressor — scikit-learn...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...The function needs to return a 2-dimensional array. inverse_func...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
d2_log_loss_score — scikit-learn 1.8.0 do...
Like R^2, D^2 score may be negative (it need...labels = None ) [source] # \(D^2\) score function, fraction of...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
Demo of OPTICS clustering algorithm — sci...
2 ) C3 = [ 1 , - 2 ] + 0.2 * np . random . randn...n_points_per_cluster , 2 ) C4 = [ - 2 , 3 ] + 0.3 * np . random...scikit-learn.org/stable/auto_examples/cluster/plot_optics.html -
1.17. Neural network models (supervised) —...
predict ([[ 2. , 2. ], [ - 1. , - 2. ]]) array([1, 0])...coef in clf . coefs_ ] [(2, 5), (5, 2), (2, 1)] Currently, MLPClassifier...scikit-learn.org/stable/modules/neural_networks_supervised.html -
1.12. Multiclass and multioutput algorithms ...
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...scikit-learn.org/stable/modules/multiclass.html -
1.4. Support Vector Machines — scikit-lea...
[ 2 , 2 ]] >>> y = [ 0.5 , 2.5 ] >>>...>>> clf . predict ([[ 2. , 2. ]]) array([1]) SVMs decision...scikit-learn.org/stable/modules/svm.html -
model_evaluation.rst.txt
labeling1 = [2, 0, 2, 2, 0, 1] >>> labeling2 = [0, 0, 2, 2, 0, 2] >>>...y_true = [2, 0, 2, 2, 0, 1] >>> y_pred = [0, 0, 2, 2, 0, 2] >>> ...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
Principal Component Regression vs Partial Least...
n_samples ) / 2 fig , axes = plt . subplots ( 1 , 2 , figsize =...) pca = PCA ( n_components = 2 ) . fit ( X ) plt . scatter (...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html