- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 551 - 560 of 1,998 for = (0.14 sec)
-
GroupKFold — scikit-learn 1.7.0 documentation
index=[2 3], group=[2 2] Test: index=[0 1 4 5], group=[0 0 3...index=[0 1 4 5], group=[0 0 3 3] Test: index=[2 3], group=[2 2]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
plot_pca_iris.rst.txt
py: ========== Principal Component Analysis...Analysis (PCA) on Iris Dataset ========== This example shows a well...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
map型プロパティ | DBFlute
@mapprop map: {AAA= BBB ; CCC = DDD } # {AAA=BBB;CCC=DDD} と同じ 定義値の中の空白や改行...@mapprop map: {AAA= BB B ; CCC = DD D } # {AAA=BBB;CCC=DD D} と同じ # 値の中の改行は保持されない...dbflute.seasar.org/ja/manual/reference/dfprop/mapprop.html -
resample — scikit-learn 1.7.0 documentation
replace = True , n_samples = None , random_state = None , stratify...y , n_samples = 5 , replace = False , stratify = y , ... random_state...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html -
Factor Analysis (with rotation) to visualize pa...
cmap = "RdBu_r" , vmin =- 1 , vmax = 1 ) ax . set_xticks...ncols = len ( methods ), figsize = ( 10 , 8 ), sharey = True )...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html -
StratifiedShuffleSplit — scikit-learn 1.7.0 doc...
n_splits = 10 , * , test_size = None , train_size = None , random_state...( n_splits = 5 , test_size = 0.5 , random_state = 0 ) >>> sss...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
Caching nearest neighbors — scikit-learn 1.7.0 ...
y = load_digits ( return_X_y = True ) n_neighbors_list = [ 1...graph_model = KNeighborsTransforme ( n_neighbors = max ( n_neighbors_list...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
An example of K-Means++ initialization — scikit...
data n_samples = 4000 n_components = 4 X , y_true = make_blobs (...n_samples = n_samples , centers = n_components , cluster_std = 0.60...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
KernelPCA — scikit-learn 1.7.0 documentation
degree = 3 , coef0 = 1 , kernel_params = None , alpha = 1.0 , ...fit_inverse_transform = False , eigen_solver = 'auto' , tol = 0 , max_iter = None...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
2.3. Clustering — scikit-learn 1.7.0 documentation
V)]=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \sum_{n_{ij}=(a_i+b_j-N)^+...assign_labels="kmeans" assign_labels="discretize" assign_labels="cluster_qr"...scikit-learn.org/stable/modules/clustering.html