- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 131 - 140 of 2,485 for = (0.05 sec)
-
Ledoit-Wolf vs OAS estimation — scikit-learn 1....
shrinkage_ oa = OAS ( store_precision = False , assume_centered = True...yerr = lw_mse . std ( 1 ), label = "Ledoit-Wolf" , color = "navy"...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html -
Nested versus non-nested cross-validation — sci...
random_state = i ) outer_cv = KFold ( n_splits = 4 , shuffle = True ,...NUM_TRIALS = 30 # Load the dataset iris = load_iris () X_iris = iris...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Demonstrating the different strategies of KBins...
cluster_std = 0.5 , centers = centers_0 , random_state = random_state...cluster_std = 0.5 , centers = centers_1 , random_state = random_state...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
Gaussian processes on discrete data structures ...
width = 0.2 , color = "r" , alpha = 1 , label = "training"...)], s = 100 , marker = "x" , facecolor = "b" , linewidth = 2 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Plot randomly generated multilabel dataset — sc...
marker = "*" , linewidth = 0.5 , edgecolor = "black" , s = 20 +...( ax , n_labels = 1 , n_classes = 3 , length = 50 ): X , Y , p_c...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html -
JDBCタスクのログ | DBFlute
- $ /= = = = = = = = = = = = = = = = = = = = = = = = = = [df-jdbc]...[df-jdbc] ... 815 INFO - $ = = = = = = = = = =/ [df-jdbc] ... 815 INFO...dbflute.seasar.org/ja/manual/function/generator/task/jdbc/logging.html -
Plotting Learning Curves and Checking Models’ S...
ax = plt . subplots ( nrows = 1 , ncols = 2 , figsize = ( 10...nrows = 2 , ncols = 2 , figsize = ( 16 , 12 ), sharex = True )...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
RadiusNeighborsRegressor — scikit-learn 1.5.2 d...
leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params = None...radius = 1.0 , * , weights = 'uniform' , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
6.3. Preprocessing data — scikit-learn 1.5.2 do...
axis = 0 )) / ( X . max ( axis = 0 ) - X . min ( axis = 0 ))...output_distribution = 'normal' , random_state = 0 ) >>> X_trans = quantile_transformer...scikit-learn.org/stable/modules/preprocessing.html -
SGD: Penalties — scikit-learn 1.5.2 documentation
inline = 1 , fontsize = 18 , fmt = { 1.0 : "L2" }, manual = [( -...inline = 1 , fontsize = 18 , fmt = { 1.0 : "L1" }, manual = [( -...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html