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HuberRegressor vs Ridge on dataset with strong ...
n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0 ,...): huber = HuberRegressor ( alpha = 0.0 , epsilon = epsilon )...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
HashingVectorizer — scikit-learn 1.7.1 document...
binary=False , norm='l2' , alternate_sign=True , dtype=<class..., input='content' , encoding='utf-8' , decode_error='strict'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
spectral_embedding — scikit-learn 1.7.1 documen...
n_components = 8 , eigen_solver = None , random_state = None , eigen_tol...eigen_tol = 'auto' , norm_laplacian = True , drop_first = True )...scikit-learn.org/stable/modules/generated/sklearn.manifold.spectral_embedding.html -
feature_extraction.rst.txt
_feature_extraction: ========== Feature extraction ========== .. currentmodule::...Loading features from dicts ========== The class :class:`DictVectorizer`...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
selectList(cb) (リスト検索) | DBFlute
ListResultBean<Member> memberList = memberBhv .selectList( cb -> {...ListResultBean<Member> memberList = memberBhv .selectList( cb -> {...dbflute.seasar.org/ja/manual/function/ormapper/behavior/select/selectlist.html -
StratifiedGroupKFold — scikit-learn 1.7.1 docum...
( n_splits = 5 , shuffle = False , random_state = None ) [source]...StratifiedGroupKFold(n_splits=3, random_state=None, shuffle=False) >>> for i...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
Better Binary Quantization (BBQ) in Lucene and ...
max_{v_{c1}'}=max(v_{c1}')=0.19,min_{v_{c1}'}=min(v_{c1}')=-0.38 Q(x_{s})...bin(v_{c1}') = [0, 1, 1, 0, 0, 0, 0, 0] 0b00000110 = 6 v 1 = [ 0.56...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
check_array — scikit-learn 1.7.1 documentation
accept_sparse = False , * , accept_large_sparse = True , dtype = 'numeric'...'numeric' , order = None , copy = False , force_writeable = False , force_all_finite...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
Robust covariance estimation and Mahalanobis di...
7 ) n_samples = 125 n_outliers = 25 n_features = 2 # generate...gen_cov = np . eye ( n_features ) gen_cov [ 0 , 0 ] = 2.0 X = np ....scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html -
3.2. Tuning the hyper-parameters of an estimato...
6 * 2 = 12 35 // 2 = 17 12 * 2 = 24 17 // 2 = 8 24 * 2 = 48 8...3 (=min_resources) 70 (=n_candidates) 3 * 2 = 6 70 // 2 = 35...scikit-learn.org/stable/modules/grid_search.html