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poisson_gamma_tweedie_distributions.png
encoding=ISO-8859-1, compression=none keyword=Software, value=matplotlib...0.2540005 width=1200, height=350, bitDepth=8, colorType=RGBAlpha, ...scikit-learn.org/stable/_images/poisson_gamma_tweedie_distributions.png -
Model Complexity Influence — scikit-learn 1.6.1...
return_X_y = True ) train_size = 0.8 elif case == "classification"...data.""" if case == "regression" : X , y = datasets . load_diabetes...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
auto_examples_jupyter.zip
pace=0.01, wspace=0.01, top=1, bottom=0, left=0, right=1)\n\nplt.show()"...plt.subplots_adjust(bottom=0, left=0.01, right=0.99, top=0.90, hspace=0.35)\n for...scikit-learn.org/stable/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip -
IsolationForest example — scikit-learn 1.6.1 do...
outliers = rng . uniform ( low =- 4 , high = 4 , size = ( n_outliers...scatter = plt . scatter ( X [:, 0 ], X [:, 1 ], c = y , s = 20 ,...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
Prediction Latency — scikit-learn 1.6.1 documen...
SGDRegressor(alpha=0.01, l1_ratio=0.25, penalty='elasticnet', tol=0.0001)...n_features = n_features , noise = noise , coef = True ) random_seed...scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html -
LearningCurveDisplay — scikit-learn 1.6.1 docum...
error_score = nan , fit_params = None , ax = None , negate_score = False...>>> X , y = load_iris ( return_X_y = True ) >>> tree = DecisionTreeClassifi...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
Selecting the number of clusters with silhouett...
marker = "." , s = 30 , lw = 0 , alpha = 0.7 , c = colors ,...1 ], marker = "o" , c = "white" , alpha = 1 , s = 200 , edgecolor...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html -
Compare cross decomposition methods — scikit-le...
PLSRegression n = 1000 q = 3 p = 10 X = np . random . normal ( size = n *...size = n ) l2 = np . random . normal ( size = n ) latents = np...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
A demo of K-Means clustering on the handwritten...
name = "random" , data = data , labels = labels ) pca = PCA (...], marker = "x" , s = 169 , linewidths = 3 , color = "w" , zorder...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html -
dict_learning — scikit-learn 1.6.1 documentation
max_iter = 100 , tol = 1e-08 , method = 'lars' , n_jobs = None ,..., dict_init = None , code_init = None , callback = None , verbose...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html
