- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1061 - 1070 of over 10,000 for 2 (1.22 seconds)
Filter
-
Scheduler API
说明 0 0 2 * * ? 每天凌晨2点执行 0 0 0/6 * * ? 每6小时执行一次 0 0 2 * * MON...MON 每周一凌晨2点执行 0 0 2 1 * ? 每月1日凌晨2点执行 更新计划任务 请求 PUT / api / admin...fess.codelibs.org/zh-cn/15.5/api/admin/api-admin-scheduler.html -
Ridge coefficients as a function of the L2 Regu...
- X \beta \|^{2}_{2} + \alpha \| \beta \|^{2}_{2}\) where \(X\)...side (e.g. \(\|y - X\beta\|^{2}_{2}\) ) measures the squared difference...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
rand_score — scikit-learn 1.8.0 documentation
of Classification 2, 193–218 (1985). . [ 2 ] Wikipedia: Simple...predicted and true clusterings [1] [2] . The raw RI score [3] is: RI...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
RadiusNeighborsRegressor — scikit-learn 1.8.0 d...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...'auto' , leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
1.6. Nearest Neighbors — scikit-learn 1.8.0 doc...
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/neighbors.html -
make_friedman1 — scikit-learn 1.8.0 documentation
2 ] - 0.5 ) ** 2 + 10 * X [:, 3 ] + 5 *...in Friedman [1] and Breiman [2]. Inputs X are independent features...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
Ordinary Least Squares and Ridge Regression — s...
[ 2 ]] # Use only one feature X_train...ax = plt . subplots ( ncols = 2 , figsize = ( 10 , 5 ), sharex...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
dcg_score — scikit-learn 1.8.0 documentation
log_base = 2 , sample_weight = None , ignore_ties...outputs. log_base float, default=2 Base of the logarithm used for...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
centers = [[ - 2 ], [ 2 ]]) # add non-discriminative...features_samples_ratio , acc_clf1 , linewidth = 2 , label = "LDA" , color = "gold"...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
plot_classifier_comparison.py
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py