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plot_kmeans_digits.zip
PCA` to project into a # 2-dimensional space and plot the...reduced_data = PCA(n_components=2).fit_transform(data) kmeans =...scikit-learn.org/stable/_downloads/1393861b58df827d4c681b80a5be2472/plot_kmeans_digits.zip -
mean_absolute_error — scikit-learn 1.8.0 ...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
mean_squared_error — scikit-learn 1.8.0 d...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
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chi2 — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> chi2_stats ,...[ 5 , 4 , 1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
plot_kmeans_digits.rst.txt
PCA` to project into a 2-dimensional space and plot the...reduced_data = PCA(n_components=2).fit_transform(data) kmeans =...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
AffinityPropagation — scikit-learn 1.8.0 ...
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...cluster_centers_ array([[1, 2], [4, 2]]) For an example usage, see...scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html -
LinearSVR — scikit-learn 1.8.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...(n_features) if n_classes == 2 else (n_classes, n_features) Weights...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html -
기여 가이드
아키텍처 및 코드 구조 에서 코드 구조 학습 Step 2: Issue 찾기 GitHub의 Issue 페이지 에서...테스트 방법 1. 검색 화면에서 파일 타입 필터 선택 2. 검색 실행 3. 선택한 파일 타입의 결과만 표시되는지...fess.codelibs.org/ko/dev/contributing.html