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Putting it all together — scikit-learn 1.4.2 do...
tgz (233MB) """ ========== Faces recognition example...using eigenfaces and SVMs ========== The dataset used in this...scikit-learn.org/stable/tutorial/statistical_inference/putting_together.html -
sklearn.neighbors.KDTree — scikit-learn 1.4.2 d...
return_distance == False (d,i) if return_distance == True d ndarray...count if count_only == True ind if count_only == False and return_distance...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html -
plot_discretization_strategies.py
""" ========== Demonstrating the different strategies of KBinsDiscretizer...KBinsDiscretizer ========== This example presents the different...scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie... -
Comparison of Manifold Learning methods — sciki...
axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 7...perplexity = 30 , init = "random" , n_iter = 250 , random_state = 0 ,...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html -
Approximate nearest neighbors in TSNE — scikit-...
n_samples = 20_000 )), ] n_iter = 500 perplexity = 30 metric = "euclidean"...n_neighbors = 5 , metric = "euclidean" , method = "sw-graph" ,...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Comparing Linear Bayesian Regressors — scikit-l...
n_informative = 10 , noise = 8 , coef = True , random_state = 42 , )...linthresh = 10e-4 , vmin =- 80 , vmax = 80 ), cbar_kws = { "label"...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Time-related feature engineering — scikit-learn...
figsize = ( 12 , 4 )) y . hist ( bins = 30 , ax = ax ) _ = ax ....axes = plt . subplots ( nrows = 2 , ncols = 3 , figsize = ( 13...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
preprocessing.rst.txt
_preprocessing: ========== Preprocessing data ========== .. currentmodule::...removal and variance scaling ========== **Standardization** of datasets...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
Concentration Prior Type Analysis of Variation ...
s = 5 , marker = "o" , color = colors [ y ], alpha = 0.8 )...width = 0.9 , color = "#56B4E9" , zorder = 3 , align = "center"...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html -
sklearn.inspection.PartialDependenceDisplay — s...
n_jobs = None , verbose = 0 , line_kw = None , ice_lines_kw = None...pd_line_kw = None , contour_kw = None , ax = None , kind = 'average'...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html