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1.11. Ensembles: Gradient boosting, random fore...
min_samples_leaf = 1 , ... max_depth = 2 , ... learning_rate = 1 , ......learning_rate = 1.0 , ... max_depth = 1 , random_state = 0 ) . fit...scikit-learn.org/stable/modules/ensemble.html -
Parallel — scikit-learn 1.6.1 documentation
return_as = 'list' , verbose = default(0) , timeout = None , pre_dispatch...pre_dispatch = '2 * n_jobs' , batch_size = 'auto' , temp_folder = default(None)...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html -
Gaussian Mixture Model Selection — scikit-learn...
( X [ Y_ == i , 0 ], X [ Y_ == i , 1 ], 0.8 , color = color )...data = df , kind = "bar" , x = "Number of components" , y = "BIC...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
データ登録制御 (loadingControlMap.dataprop) | DBFlute
df:originDate = 2013/03/09 # ; $$ALL$$ = map:{ # ; $$ALL$$ = addDay($distance)...dateAdjustmentMap = map: { ; df:originDate = 2008/01/01 ; $$ALL$$ = map: {...dbflute.seasar.org/ja/manual/function/generator/task/replaceschema/loadingcontrol.html -
Profiler Auto instrumentation | APM .NET Agent ...
$environment = @{ COR_ENABLE_PROFILING = "1" COR_PROFILER = "{FA65.../+"[name='$appPool'].environmentVariables.[name='$_',value='$($environment[$_])']"...www.elastic.co/guide/en/apm/agent/dotnet/current/setup-auto-instrumentation.html -
MultiTaskLasso — scikit-learn 1.6.1 documentation
l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...precompute = 'auto' , Xy = None , copy_X = True , coef_init = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
Pipeline ANOVA SVM — scikit-learn 1.6.1 documen...
n_informative = 3 , n_redundant = 0 , n_classes = 2 , n_clusters_per_class...anova_filter = SelectKBest ( f_classif , k = 3 ) clf = LinearSVC...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html -
Inductive Clustering — scikit-learn 1.6.1 docum...
c = color , alpha = alpha , edgecolor = "k" ) # Generate..., y = make_blobs ( n_samples = N_SAMPLES , cluster_std = [ 1.0...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
Pipelining: chaining a PCA and a logistic regre...
logistic = LogisticRegression ( max_iter = 10000 , tol = 0.1 ) pipe...ax0 , ax1 ) = plt . subplots ( nrows = 2 , sharex = True , figsize...scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html -
learning_curve — scikit-learn 1.6.1 documentation
exploit_incremental_learning = False , n_jobs = None , pre_dispatch = 'all' , verbose...verbose = 0 , shuffle = False , random_state = None , error_score...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html