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Evaluate the performance of a classifier with C...
set_printoptions ( precision = 2 ) # Plot non-normalized confusion...n_redundant = 0 , n_classes = 2 , random_state = 42 , ) X_train...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
内存配置
export FESS_HEAP_SIZE = 2 g 单位: m : 兆字节 g : 吉字节 RPM/DEB.../etc/sysconfig/fess 。 FESS_HEAP_SIZE = 2 g 使用 DEB 软件包时,请编辑 /etc/default/fess...fess.codelibs.org/zh-cn/15.3/config/setup-memory.html -
Implement Elasticsearch with retrieval augmente...
value of 1 or 2 (a setting of 1 allows repetition, and 2 prohibits...ranging from 0.0 (greedy) and 2.00 (which is maximum creativity)....developer.ibm.com/tutorials/awb-integration-of-wx-ai-watsonx-discovery-watson-assisant/ -
Fess 安装指南
设置环境变量 步骤 1: 安装 OpenSearch 步骤 2: 安装 Fess 步骤 3: 启动 注册为 Windows...步骤 1: 获取 Docker Compose 文件 步骤 2: 确认 Docker Compose 文件 步骤 3: 启动...fess.codelibs.org/zh-cn/15.3/install/index.html -
Upgrade-Verfahren
2/fess-15.3.2.tar.gz $ tar -xzf fess-15.3.2.tar.gz Konfiguration...-Uvh fess-15.3.2.rpm # DEB $ sudo dpkg -i fess-15.3.2.deb Bemerkung...fess.codelibs.org/de/15.3/install/upgrade.html -
Ingest data with Python | Elastic Docs
'_shards': {'total': 2, 'successful': 1, 'failed': 0},...'created', '_shards': {'total': 2, 'successful': 1, 'failed': 0},...www.elastic.co/docs/manage-data/ingest/ingesting-data-from-applications/ingest-data-with-python-o... -
test.tex
\begin{equation} x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a} \end{equation} Einstein's...equation: \begin{equation} E = mc^2 \end{equation} \section{Lists...raw.githubusercontent.com/codelibs/fess-testdata/master/files/latex/test.tex -
TransformerMixin — scikit-learn 1.8.0 doc...
scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
OAS — scikit-learn 1.8.0 documentation
formula (23) states that 2/p (p being the number of features)...because for a large p, the value of 2/p is so small that it doesn’t...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
TruncatedSVD — scikit-learn 1.8.0 documen...
TruncatedSVD ( n_components = 2 , * , algorithm = 'randomized'...Parameters : n_components int, default=2 Desired dimensionality of output...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html