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Lagged features for time series forecasting ...
2 ± 4.0" "39.3 ± 2.8" "16.7..."92.5 ± 16.2" "5.9 ± 0.9" "46.2 ± 8.1"...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
1.9. Naive Bayes — scikit-learn 1.7.2 doc...
\frac{1}{\sqrt{2\pi\sigma^2_y}} \exp\left(-\frac{(x_i - \mu_y)^2}{2\sigma^2_y}\right)\]...of a total 75 points : 4 1.9.2. Multinomial Naive Bayes # MultinomialNB...scikit-learn.org/stable/modules/naive_bayes.html -
Missing Value Imputation — scikit-learn 1...
Examples concerning the sklearn.impute module. Imputing missing values before building an estimator Imputing missing values with variants of IterativeImputerscikit-learn.org/stable/auto_examples/impute/index.html -
Support Vector Machines — scikit-learn 1....
Examples concerning the sklearn.svm module. One-class SVM with non-linear kernel (RBF) Plot classification boundaries with different SVM Kernels Plot different SVM classifiers in the iris dataset P...scikit-learn.org/stable/auto_examples/svm/index.html -
Kernel Density Estimation — scikit-learn ...
This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
Overview of multiclass training meta-estimators...
code_size = 2 ) cv_results_tree = cross_validate..., X , y , cv = cv , n_jobs = 2 ) cv_results_ovo = cross_validate...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
Prediction Intervals for Gradient Boosting Regr...
exp ( sigma ** 2 / 2 ) y = expected_y + noise Split...learning_rate = [ 0.05 , 0.1 , 0.2 ], max_depth = [ 2 , 5 , 10 ], min_samples_leaf...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
A demo of the mean-shift clustering algorithm &...
2 , n_samples = 500 ) ms = MeanShift...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
Lasso on dense and sparse data — scikit-l...
values lower than 2.5 with 0s Xs [ Xs < 2.5 ] = 0.0 # create...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Visualization of MLP weights on MNIST — s...
44139186 Iteration 2, loss = 0.19174891 Iteration 3,...= 1 , learning_rate_init = 0.2 , ) # this example won't converge...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html