- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 451 - 460 of 1,994 for = (0.07 sec)
-
A demo of K-Means clustering on the handwritten...
name = "random" , data = data , labels = labels ) pca = PCA (...], marker = "x" , s = 169 , linewidths = 3 , color = "w" , zorder...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html -
dict_learning — scikit-learn 1.6.1 documentation
max_iter = 100 , tol = 1e-08 , method = 'lars' , n_jobs = None ,..., dict_init = None , code_init = None , callback = None , verbose...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html -
mean_tweedie_deviance — scikit-learn 1.6.1 docu...
sample_weight = None , power = 0 ) [source] # Mean Tweedie...(n_samples,), default=None Sample weights. power float, default=0 Tweedie...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
classification_report — scikit-learn 1.6.1 docu...
labels = None , target_names = None , sample_weight = None ,..., digits = 2 , output_dict = False , zero_division = 'warn' )...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
模範解答的なセクション 3 | DBFlute
purchaseBhv ; // ========== // Silver Stretch // ========== /** * [1]... }); } // ========== // Gold Stretch // ========== /** * [4]...dbflute.seasar.org/ja/tutorial/handson/flower/flower03.html -
commonColumnMap | DBFlute
REGISTER_USER=VARCHAR ; UPDATE_DATETIME=TIMESTAMP ; UPDATE_USER=VARCHAR...commonColumnMap = map: { ; [column-name1] = [JDBC-type1] ; [column-name2]...dbflute.seasar.org/ja/manual/reference/dfprop/commoncolumn/index.html -
RaBitQ binary quantization 101 - Elasticsearch ...
r 1 = [ 1 , 0 ] , r 2 = [ 1 , 0 ] , r 3 = [ 0 , 1 ] r_1 = [1,...0], r_2 = [1, 0], r_3 = [0, 1] r 1 = [ 1 , 0 ] , r 2 = [ 1 , 0...www.elastic.co/search-labs/blog/rabitq-explainer-101 -
Wikipedia principal eigenvector — scikit-learn ...
[ 0 ])] = short_name ( split [ 2 ]) if l % 1000000 == 0 : print...transitive_target = None target = redirects [ source ] seen = { source...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
SpectralClustering — scikit-learn 1.6.1 documen...
random_state = None , n_init = 10 , gamma = 1.0 , affinity = 'rbf' ,...degree = 3 , coef0 = 1 , kernel_params = None , n_jobs = None ,...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html -
Exponentiation — scikit-learn 1.6.1 documentation
y = make_friedman2 ( n_samples = 500 , noise = 0 , random_state...exponent = 2 ) >>> gpr = GaussianProcessRegre ( kernel = kernel...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Exponentiation.html