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permutation_importance — scikit-learn 1.7.1 doc...
scoring = None , n_repeats = 5 , n_jobs = None , random_state...random_state = None , sample_weight = None , max_samples = 1.0 ) [source]...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
GaussianNB — scikit-learn 1.7.1 documentation
priors = None , var_smoothing = 1e-09 ) [source] #...( X , y , classes = None , sample_weight = None ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
LastaFluteのパッケージ構成 | LastaFlute
CachedFwAssistantDir { // ========== // Attribute // ========= @Resource protected...maihamaConfig ; // ========== // Assist // ====== @Override protected...dbflute.seasar.org/ja/lastaflute/howto/structure/pkgstructure.html -
ConditionBean at a Glance | DBFlute
ManualOrderBean mob = new ManualOrderBean(); Date date24before = new Han...if not found) Member member = = memberBhv .selectEntityWithDele(cb);...dbflute.seasar.org/manual/function/ormapper/conditionbean/hitomecb.html -
PolynomialFeatures — scikit-learn 1.7.1 documen...
degree = 2 , * , interaction_only = False , include_bias = True...features. Note that min_degree=0 and min_degree=1 are equivalent as outputting...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
precision_recall_curve — scikit-learn 1.7.1 doc...
pos_label = None , sample_weight = None , drop_intermediate = False...values are precision=class balance and recall=1.0 which corresponds...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
SQLログの取得 | DBFlute
executedSql = sqlLogInfo.getExecutedSql(); Object[] bindArgs = sqlL...bindArgs = sqlLogInfo.getBindArgTypes(); String displaySql = sqlL...dbflute.seasar.org/ja/manual/function/genbafit/runtimefit/sqlloghandler/index.html -
compute_class_weight — scikit-learn 1.7.1 docum...
class_weight = "balanced" , classes = np . unique ( y ), y = y ) array([1.5..., classes , y , sample_weight = None ) [source] # Estimate class...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_class_weight.html -
2.5. Decomposing signals in components (matrix ...
\(n_{samples} = 400\) and \(n_{features} = 64 \times 64 = 4096\) ,...NMF >>> model = NMF ( n_components = 2 , init = 'random' , random_state...scikit-learn.org/stable/modules/decomposition.html -
ndcg_score — scikit-learn 1.7.1 documentation
k = None , sample_weight = None , ignore_ties = False ).../ 2 = .75 >>> ndcg_score ( true_relevance , scores , k = 1 )...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html