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pairwise_distances_argmin_min — scikit-learn 1....
axis = 1 , metric = 'euclidean' , metric_kwargs = None ) [source]...(pairwise_distances(X, Y=Y, metric=metric).argmin(axis=axis), pairwise_distances(X,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html -
Hybrid search with multiple embeddings: A fun a...
"imageQuery" or key == "inputQuery" or key == "from_"): continue...filters = [] for key, val in form_data.items(): if (key == "imageQuery"...www.elastic.co/search-labs/blog/hybrid-search-multiple-embeddings -
freeGenMap | DBFlute
[request-name] = map: { ; resourceMap = map: { ; resourceType = [PROP...mappingMap = map:{ ; type = map:{ [your type name] = [Java type...dbflute.seasar.org/ja/manual/reference/dfprop/freegen/index.html -
BehaviorQueryPath | DBFlute
String path = MemberBhv.PATH_selectSimpleMember; ... = memberBh...String PATH_selectSimpleMember = "selectSimpleMember" ; public...dbflute.seasar.org/ja/manual/function/generator/task/sql2entity/behaviorquerypath.html -
bootstrap.js
g=B(h),_="y"===f?n:r,b="y"===f?s:o,v=i.rects.refe...H(t,e,i){void 0===e&&(e=!1),void 0===i&&(i=!1);var n=t.getBoundi...scikit-learn.org/dev/_static/scripts/bootstrap.js -
MinCovDet — scikit-learn 1.5.2 documentation
store_precision = True , assume_centered = False , support_fraction = None...multivariate_normal ( mean = [ 0 , 0 ], ... cov = real_cov , ... size = 500 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html -
DummyRegressor — scikit-learn 1.5.2 documentation
strategy = 'mean' , constant = None , quantile = None ) [source]...>>> X = np . array ([ 1.0 , 2.0 , 3.0 , 4.0 ]) >>> y = np . array...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
saflute_template-eclipse-plugin.zip
version=3.2.1 groupId=commons-collections artifactId=commons-collections...ion="3.2.1",org.apa che.commons.collections.bag;version="3.2...dbflute.seasar.org/download/misc/friends/saflute_template-eclipse-plugin.zip -
1.1. Linear Models — scikit-learn 1.5.2 documen...
default \(\alpha_1 = \alpha_2 = \lambda_1 = \lambda_2 = 10^{-6}\) ....reg = TweedieRegressor ( power = 1 , alpha = 0.5 , link = 'log'...scikit-learn.org/stable/modules/linear_model.html -
permutation_importance — scikit-learn 1.5.2 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