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swiper-bundle.min.css
gYGaAY/w8UBfEMgLzE////P/5//f/V/xv+r4eaAAeMbAxwIUYmIMHE/gZBAS...fess.codelibs.org/ja/_static/assets/vendor/swiper/swiper-bundle.min.css -
インストール手順
「Install required Enable Hyper-V Windows Features」 が選択されていることを確認して、...fess.codelibs.org/ja/setup.html -
theme.min.css
fc-v-event.text-nav .fc-event-main,.fc-v-event.text-dark...) !important}.fc-h-event,.fc-v-event{--fc-event-border-color:...fess.codelibs.org/_static/assets/css/theme.min.css -
v_measure_score — scikit-learn 1.7.0 documentation
Choose version v_measure_score # sklearn.metrics. v_measure_score...sklearn.metrics.cluster import v_measure_score >>> v_measure_score ([ 0 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
homogeneity_completeness_v_measure — scikit-lea...
v_measure_score V-Measure (NMI with arithmetic...version homogeneity_completeness_v_measure # sklearn.metrics. ho...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html -
Better Binary Quantization (BBQ) in Lucene and ...
\newline max_{v_{c1}'}=max(v_{c1}')=0.19,min_{v_{c1}'}=min(v_{c1}')=-0.38...] m a x v c 1 ′ = m a x ( v c 1 ′ ) = 0.19 , m i n v c 1 ′ =...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
mutual_info_score — scikit-learn 1.7.0 document...
\sum_{j=1}^{|V|} \frac{|U_i\cap V_j|}{N} \log\frac{N|U_i \cap V_j|}{|U_i||V_j|}\]...and \(|V_j|\) is the number of the samples in cluster \(V_j\) ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
gpt.js
Sb=v(Number,"isSafeInteger"),Tb=v(Number,"isFinite"),Ub=v(Ma...or(var b=V(a,12),c=[];b--;){var d=!!V(a,1)===!0,e=V(a,16);if...securepubads.g.doubleclick.net/tag/js/gpt.js -
2.9. Neural network models (unsupervised) — sci...
\[\begin{split}h_i \bot h_j | \mathbf{v} \\ v_i \bot v_j | \mathbf{h}\end{split}\]...\[E(\mathbf{v}, \mathbf{h}) = -\sum_i \sum_j w_{ij}v_ih_j - \sum_i...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
DictVectorizer — scikit-learn 1.7.0 documentation
on import DictVectorizer >>> v = DictVectorizer ( sparse = False...'foo' : 3 , 'baz' : 1 }] >>> X = v . fit_transform ( D ) >>> X array([[2.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html