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7.6. Random Projection — scikit-learn 1.7.2 doc...
johnson_lindenstrauss_min_dim ( n_samples = 1e6 , eps = 0.5 ) np.int64(663) >>>...johnson_lindenstrauss_min_dim ( n_samples = 1e6 , eps = [ 0.5 , 0.1 , 0.01 ]) array([...scikit-learn.org/stable/modules/random_projection.html -
SelectKBest — scikit-learn 1.7.2 documentation
SelectKBest ( score_func=<function f_classif> , * , k=10 ) [source] #..., chi2 >>> X , y = load_digits ( return_X_y = True ) >>> X . shape...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
気づかうAssistantDirector | LastaFlute
final InvertibleCryptograp inver = InvertibleCryptograp.createAesCipher(...final OneWayCryptographer oneWay = OneWayCryptographer.createSha256Cryptogr();...dbflute.seasar.org/ja/lastaflute/howto/architecture/assistantdirector.html -
パフォーマンス考慮 | DBFlute
@Console - /========= - MemberBhv.selectList() - ========== - Memb...asc - ========== [00m00s016ms - Selected list: 6 first={1,Sto...dbflute.seasar.org/ja/introduction/performance.html -
KernelCenterer — scikit-learn 1.7.2 documentation
]] >>> K = pairwise_kernels ( X , metric = 'linear' ) >>>...kernel \(K\) such that: \[K(X, Y) = \phi(X) . \phi(Y)^{T}\] \(\phi(X)\)...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html -
make_column_transformer — scikit-learn 1.7.2 do...
remainder = 'drop' , sparse_threshold = 0.3 , n_jobs = None , verbose...verbose = False , verbose_feature_names_out = True , force_int_remainder_cols...scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html -
sigmoid_kernel — scikit-learn 1.7.2 documentation
Y = None , gamma = None , coef0 = 1 ) [source] #...array. If None , uses Y=X . gamma float, default=None Coefficient of...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
00b4045520c1e71f.css
onTable__M3Zh1 [aria-expanded=true] .accordion__arrow{transf...acity:.9;filter:alpha(opacity=90)}.ProductsTable_productsTable__v9LV8...www.elastic.co/_next/static/css/00b4045520c1e71f.css -
RegressorMixin — scikit-learn 1.7.2 documentation
>>> estimator = MyEstimator ( param = 0 ) >>> X = np . array ([[...self , * , param = 1 ): ... self . param = param ... def fit...scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html -
deprecated — scikit-learn 1.7.2 documentation
deprecated ( extra = '' ) [source] # Decorator to mark...Parameters : extra str, default=’’ To be added to the deprecation...scikit-learn.org/stable/modules/generated/sklearn.utils.deprecated.html