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Scaling the regularization parameter for SVCs &...
logspace ( - 2.3 , - 1.3 , 10 ) train_sizes =...param_range = Cs , cv = cv , n_jobs = 2 , ) results [ label ] = test_scores...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.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 -
whats_new.rst.txt
toctree:: :maxdepth: 2 whats_new/v1.7.rst whats_new/v1.6.rst...whats_new/v1.3.rst whats_new/v1.2.rst whats_new/v1.1.rst whats_new/v1.0.rst...scikit-learn.org/stable/_sources/whats_new.rst.txt -
copybutton.css
white-space: nowrap; z-index: 2; border-radius: 2px; transform:...scikit-learn.org/stable/_static/copybutton.css -
min_pos — scikit-learn 1.8.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.utils.arrayfuncs.min_pos.html -
SparseCoder — scikit-learn 1.8.0 document...
scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html -
Multi-class AdaBoosted Decision Trees — s...
class (quantiles of the \(\chi^2\) distribution). from sklearn.datasets...1 ) We split the dataset into 2 sets: 70 percent of the samples...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
Deploy IBM Security Guardium virtual appliance ...
Himanshu Gupta Likes 2 Save IBM Guardium is a data security...guardium-deployment/vars.yml. Step 2. Test the playbooks Test the Ansible...developer.ibm.com/blogs/awb-deploy-ibm-security-guardium-virtual-appliance-using-ansible/ -
cross_val_score — scikit-learn 1.8.0 docu...
pre_dispatch = '2*n_jobs' , error_score = nan )...pre_dispatch int or str, default=’2*n_jobs’ Controls the number of...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
cross_val_predict — scikit-learn 1.8.0 do...
pre_dispatch = '2*n_jobs' , method = 'predict' )...pre_dispatch int or str, default=’2*n_jobs’ Controls the number of...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html