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Fess Configuration Properties
he=hen hi=hin hr=hrn hu=hun hy=hyn id=idn it=itn ja=jan ko=kon...sv=svn ta=tan te=ten th=thn tl=tln tr=trn uk=ukn ur=urn vi=vin...fess.codelibs.org/15.0/config/properties.html -
Comparing different clustering algorithms on to...
) # ========== # Create cluster objects # ========== ms = cluster...) # ========== # Set up cluster parameters # ========== plt ....scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
Classification of text documents using sparse f...
name )) ========== Logistic Regression __________...dimensionality: 5316 density: 1.0 ========== Ridge Classifier __________...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
t-SNE: The effect of various perplexity values ...
factor = 0.5 , noise = 0.05 , random_state = 0 ) red = y == 0 green...green = y == 1 ax = subplots [ 0 ][ 0 ] ax . scatter ( X [ red...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html -
Post-tuning the decision threshold for cost-sen...
mask_false_negative = ( y_true == 1 ) & ( y_pred == 0 ) fraudulent_refuse = mask_true_positive...mask_true_positive = ( y_true == 1 ) & ( y_pred == 1 ) mask_true_negative...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Comparing Random Forests and Histogram Gradient...
fig = make_subplots ( rows = 1 , cols = 2 , shared_yaxes = True...), legend = dict ( x = 0.72 , y = 0.05 , traceorder = "normal"...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
KDTree — scikit-learn 1.7.1 documentation
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 -
Comparison of Manifold Learning methods — sciki...
axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 7...y , z = points . T fig , ax = plt . subplots ( figsize = ( 6 ,...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.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 -
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