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章節導覽
sklearn
config_context
get_config
set_config
show_versions
sklearn.base
BaseEstimator
BiclusterMixin
ClassNamePrefixFeaturesOutMixin
ClassifierMixin
ClusterMixin
DensityMixin
MetaEstimatorMixin
OneToOneFeatureMixin
OutlierMixin
RegressorMixin
TransformerMixin
clone
is_classifier
is_clusterer
is_regressor
is_outlier_detector
sklearn.calibration
CalibratedClassifierCV
calibration_curve
CalibrationDisplay
sklearn.cluster
AffinityPropagation
AgglomerativeClustering
Birch
BisectingKMeans
DBSCAN
FeatureAgglomeration
HDBSCAN
KMeans
MeanShift
MiniBatchKMeans
OPTICS
SpectralBiclustering
SpectralClustering
SpectralCoclustering
affinity_propagation
cluster_optics_dbscan
cluster_optics_xi
compute_optics_graph
dbscan
estimate_bandwidth
k_means
kmeans_plusplus
mean_shift
spectral_clustering
ward_tree
sklearn.compose
ColumnTransformer
TransformedTargetRegressor
make_column_selector
make_column_transformer
sklearn.covariance
EllipticEnvelope
EmpiricalCovariance
GraphicalLasso
GraphicalLassoCV
LedoitWolf
MinCovDet
OAS
ShrunkCovariance
empirical_covariance
graphical_lasso
ledoit_wolf
ledoit_wolf_shrinkage
oas
shrunk_covariance
sklearn.cross_decomposition
CCA
PLSCanonical
PLSRegression
PLSSVD
sklearn.datasets
clear_data_home
dump_svmlight_file
fetch_20newsgroups
fetch_20newsgroups_vectorized
fetch_california_housing
fetch_covtype
fetch_file
fetch_kddcup99
fetch_lfw_pairs
fetch_lfw_people
fetch_olivetti_faces
fetch_openml
fetch_rcv1
fetch_species_distributions
get_data_home
load_breast_cancer
load_diabetes
load_digits
load_files
load_iris
load_linnerud
load_sample_image
load_sample_images
load_svmlight_file
load_svmlight_files
load_wine
make_biclusters
make_blobs
make_checkerboard
make_circles
make_classification
make_friedman1
make_friedman2
make_friedman3
make_gaussian_quantiles
make_hastie_10_2
make_low_rank_matrix
make_moons
make_multilabel_classification
make_regression
make_s_curve
make_sparse_coded_signal
make_sparse_spd_matrix
make_sparse_uncorrelated
make_spd_matrix
make_swiss_roll
sklearn.decomposition
DictionaryLearning
FactorAnalysis
FastICA
IncrementalPCA
KernelPCA
LatentDirichletAllocation
MiniBatchDictionaryLearning
MiniBatchNMF
MiniBatchSparsePCA
NMF
PCA
SparseCoder
SparsePCA
TruncatedSVD
dict_learning
dict_learning_online
fastica
non_negative_factorization
sparse_encode
sklearn.discriminant_analysis
LinearDiscriminantAnalysis
QuadraticDiscriminantAnalysis
sklearn.dummy
DummyClassifier
DummyRegressor
sklearn.ensemble
AdaBoostClassifier
AdaBoostRegressor
BaggingClassifier
BaggingRegressor
ExtraTreesClassifier
ExtraTreesRegressor
GradientBoostingClassifier
GradientBoostingRegressor
HistGradientBoostingClassifier
HistGradientBoostingRegressor
IsolationForest
RandomForestClassifier
RandomForestRegressor
RandomTreesEmbedding
StackingClassifier
StackingRegressor
VotingClassifier
VotingRegressor
sklearn.exceptions
ConvergenceWarning
DataConversionWarning
DataDimensionalityWarning
EfficiencyWarning
FitFailedWarning
InconsistentVersionWarning
NotFittedError
UndefinedMetricWarning
EstimatorCheckFailedWarning
sklearn.experimental
enable_halving_search_cv
enable_iterative_imputer
sklearn.feature_extraction
DictVectorizer
FeatureHasher
PatchExtractor
extract_patches_2d
grid_to_graph
img_to_graph
reconstruct_from_patches_2d
CountVectorizer
HashingVectorizer
TfidfTransformer
TfidfVectorizer
sklearn.feature_selection
GenericUnivariateSelect
RFE
RFECV
SelectFdr
SelectFpr
SelectFromModel
SelectFwe
SelectKBest
SelectPercentile
SelectorMixin
SequentialFeatureSelector
VarianceThreshold
chi2
f_classif
f_regression
mutual_info_classif
mutual_info_regression
r_regression
sklearn.frozen
FrozenEstimator
sklearn.gaussian_process
GaussianProcessClassifier
GaussianProcessRegressor
CompoundKernel
ConstantKernel
DotProduct
ExpSineSquared
Exponentiation
Hyperparameter
Kernel
Matern
PairwiseKernel
Product
RBF
RationalQuadratic
Sum
WhiteKernel
sklearn.impute
IterativeImputer
KNNImputer
MissingIndicator
SimpleImputer
sklearn.inspection
partial_dependence
permutation_importance
DecisionBoundaryDisplay
PartialDependenceDisplay
sklearn.isotonic
IsotonicRegression
check_increasing
isotonic_regression
sklearn.kernel_approximation
AdditiveChi2Sampler
Nystroem
PolynomialCountSketch
RBFSampler
SkewedChi2Sampler
sklearn.kernel_ridge
KernelRidge
sklearn.linear_model
LogisticRegression
LogisticRegressionCV
PassiveAggressiveClassifier
Perceptron
RidgeClassifier
RidgeClassifierCV
SGDClassifier
SGDOneClassSVM
LinearRegression
Ridge
RidgeCV
SGDRegressor
ElasticNet
ElasticNetCV
Lars
LarsCV
Lasso
LassoCV
LassoLars
LassoLarsCV
LassoLarsIC
OrthogonalMatchingPursuit
OrthogonalMatchingPursuitCV
ARDRegression
BayesianRidge
MultiTaskElasticNet
MultiTaskElasticNetCV
MultiTaskLasso
MultiTaskLassoCV
HuberRegressor
QuantileRegressor
RANSACRegressor
TheilSenRegressor
GammaRegressor
PoissonRegressor
TweedieRegressor
PassiveAggressiveRegressor
enet_path
lars_path
lars_path_gram
lasso_path
orthogonal_mp
orthogonal_mp_gram
ridge_regression
sklearn.manifold
Isomap
LocallyLinearEmbedding
MDS
SpectralEmbedding
TSNE
locally_linear_embedding
smacof
spectral_embedding
trustworthiness
sklearn.metrics
check_scoring
get_scorer
get_scorer_names
make_scorer
accuracy_score
auc
average_precision_score
balanced_accuracy_score
brier_score_loss
class_likelihood_ratios
classification_report
cohen_kappa_score
confusion_matrix
d2_log_loss_score
dcg_score
det_curve
f1_score
fbeta_score
hamming_loss
hinge_loss
jaccard_score
log_loss
matthews_corrcoef
multilabel_confusion_matrix
ndcg_score
precision_recall_curve
precision_recall_fscore_support
precision_score
recall_score
roc_auc_score
roc_curve
top_k_accuracy_score
zero_one_loss
d2_absolute_error_score
d2_pinball_score
d2_tweedie_score
explained_variance_score
max_error
mean_absolute_error
mean_absolute_percentage_error
mean_gamma_deviance
mean_pinball_loss
mean_poisson_deviance
mean_squared_error
mean_squared_log_error
mean_tweedie_deviance
median_absolute_error
r2_score
root_mean_squared_error
root_mean_squared_log_error
coverage_error
label_ranking_average_precision_score
label_ranking_loss
adjusted_mutual_info_score
adjusted_rand_score
calinski_harabasz_score
contingency_matrix
pair_confusion_matrix
completeness_score
davies_bouldin_score
fowlkes_mallows_score
homogeneity_completeness_v_measure
homogeneity_score
mutual_info_score
normalized_mutual_info_score
rand_score
silhouette_samples
silhouette_score
v_measure_score
consensus_score
DistanceMetric
additive_chi2_kernel
chi2_kernel
cosine_distances
cosine_similarity
distance_metrics
euclidean_distances
haversine_distances
kernel_metrics
laplacian_kernel
linear_kernel
manhattan_distances
nan_euclidean_distances
paired_cosine_distances
paired_distances
paired_euclidean_distances
paired_manhattan_distances
pairwise_kernels
polynomial_kernel
rbf_kernel
sigmoid_kernel
pairwise_distances
pairwise_distances_argmin
pairwise_distances_argmin_min
pairwise_distances_chunked
ConfusionMatrixDisplay
DetCurveDisplay
PrecisionRecallDisplay
PredictionErrorDisplay
RocCurveDisplay
sklearn.mixture
BayesianGaussianMixture
GaussianMixture
sklearn.model_selection
GroupKFold
GroupShuffleSplit
KFold
LeaveOneGroupOut
LeaveOneOut
LeavePGroupsOut
LeavePOut
PredefinedSplit
RepeatedKFold
RepeatedStratifiedKFold
ShuffleSplit
StratifiedGroupKFold
StratifiedKFold
StratifiedShuffleSplit
TimeSeriesSplit
check_cv
train_test_split
GridSearchCV
HalvingGridSearchCV
HalvingRandomSearchCV
ParameterGrid
ParameterSampler
RandomizedSearchCV
FixedThresholdClassifier
TunedThresholdClassifierCV
cross_val_predict
cross_val_score
cross_validate
learning_curve
permutation_test_score
validation_curve
LearningCurveDisplay
驗證曲線顯示 (ValidationCurveDisplay)
sklearn.multiclass
OneVsOneClassifier (一對一分類器)
OneVsRestClassifier (一對多分類器)
OutputCodeClassifier (輸出碼分類器)
sklearn.multioutput
ClassifierChain (分類器鏈)
MultiOutputClassifier (多輸出分類器)
MultiOutputRegressor (多輸出迴歸器)
RegressorChain (迴歸器鏈)
sklearn.naive_bayes
BernoulliNB (伯努利樸素貝氏)
CategoricalNB (類別樸素貝氏)
ComplementNB (補集樸素貝氏)
GaussianNB (高斯樸素貝氏)
MultinomialNB (多項式樸素貝氏)
sklearn.neighbors
BallTree (球樹)
KDTree (KD樹)
KNeighborsClassifier (K近鄰分類器)
KNeighborsRegressor (K近鄰迴歸器)
KNeighborsTransformer (K近鄰轉換器)
KernelDensity (核密度估計)
LocalOutlierFactor (局部離群因子)
NearestCentroid (最近質心)
NearestNeighbors (最近鄰)
NeighborhoodComponentsAnalysis (鄰域成分分析)
RadiusNeighborsClassifier (半徑近鄰分類器)
RadiusNeighborsRegressor (半徑近鄰迴歸器)
RadiusNeighborsTransformer (半徑近鄰轉換器)
kneighbors_graph (K近鄰圖)
radius_neighbors_graph (半徑近鄰圖)
sort_graph_by_row_values (依列值排序圖)
sklearn.neural_network
BernoulliRBM (伯努利受限波茲曼機)
MLPClassifier (多層感知器分類器)
MLPRegressor (多層感知器迴歸器)
sklearn.pipeline
FeatureUnion (特徵聯合)
Pipeline (管道)
make_pipeline (建立管道)
make_union (建立聯合)
sklearn.preprocessing
Binarizer (二值化器)
FunctionTransformer (函數轉換器)
KBinsDiscretizer (K箱離散化器)
KernelCenterer (核中心化器)
LabelBinarizer (標籤二值化器)
LabelEncoder (標籤編碼器)
MaxAbsScaler (最大絕對值縮放器)
MinMaxScaler (最小最大值縮放器)
MultiLabelBinarizer (多標籤二值化器)
Normalizer (正規化器)
OneHotEncoder (獨熱編碼器)
OrdinalEncoder (序數編碼器)
PolynomialFeatures (多項式特徵)
PowerTransformer (冪轉換器)
QuantileTransformer (分位數轉換器)
RobustScaler (穩健縮放器)
SplineTransformer (樣條轉換器)
StandardScaler (標準縮放器)
TargetEncoder (目標編碼器)
add_dummy_feature (加入虛擬特徵)
binarize (二值化)
label_binarize (標籤二值化)
maxabs_scale (最大絕對值縮放)
minmax_scale (最小最大值縮放)
normalize (正規化)
power_transform (冪轉換)
quantile_transform (分位數轉換)
robust_scale (穩健縮放)
scale (縮放)
sklearn.random_projection
GaussianRandomProjection (高斯隨機投影)
SparseRandomProjection (稀疏隨機投影)
johnson_lindenstrauss_min_dim (Johnson-Lindenstrauss 最小維度)
sklearn.semi_supervised
LabelPropagation (標籤傳播)
LabelSpreading (標籤擴散)
SelfTrainingClassifier (自訓練分類器)
sklearn.svm
LinearSVC (線性支援向量分類器)
LinearSVR (線性支援向量迴歸器)
NuSVC (Nu支援向量分類器)
NuSVR (Nu支援向量迴歸器)
OneClassSVM (單類支援向量機)
SVC (支援向量分類器)
SVR (支援向量迴歸器)
l1_min_c (L1最小C)
sklearn.tree
DecisionTreeClassifier (決策樹分類器)
DecisionTreeRegressor (決策樹迴歸器)
ExtraTreeClassifier (極端隨機樹分類器)
ExtraTreeRegressor (極端隨機樹迴歸器)
export_graphviz (匯出Graphviz)
export_text (匯出文字)
plot_tree (繪製樹狀圖)
sklearn.utils
Bunch (束)
_safe_indexing (安全索引)
as_float_array (轉為浮點數陣列)
assert_all_finite (斷言所有數值皆有限)
deprecated (已棄用)
estimator_html_repr (估算器HTML表示)
gen_batches (生成批次)
gen_even_slices (生成均勻切片)
indexable (可索引)
murmurhash3_32 (MurmurHash3 32位元)
resample (重採樣)
safe_mask (安全遮罩)
safe_sqr (安全平方)
shuffle (洗牌)
Tags (標籤)
InputTags (輸入標籤)
TargetTags (目標標籤)
ClassifierTags (分類器標籤)
RegressorTags (迴歸器標籤)
TransformerTags (轉換器標籤)
get_tags (取得標籤)
check_X_y (檢查X和y)
check_array (檢查陣列)
check_consistent_length (檢查一致長度)
check_random_state (檢查隨機狀態)
check_scalar (檢查純量)
check_is_fitted (檢查是否已擬合)
check_memory (檢查記憶體)
check_symmetric (檢查對稱性)
column_or_1d (欄或一維)
has_fit_parameter (是否有擬合參數)
validate_data (驗證資料)
available_if (可用於如果)
compute_class_weight (計算類別權重)
compute_sample_weight (計算樣本權重)
is_multilabel (是否為多標籤)
type_of_target (目標類型)
unique_labels (唯一標籤)
density (密度)
fast_logdet (快速對數行列式)
randomized_range_finder (隨機範圍搜尋器)
randomized_svd (隨機奇異值分解)
safe_sparse_dot (安全稀疏點積)
weighted_mode (加權眾數)
incr_mean_variance_axis (增量均值變異數軸)
inplace_column_scale (就地欄縮放)
inplace_csr_column_scale (就地CSR欄縮放)
inplace_row_scale (就地列縮放)
inplace_swap_column (就地交換欄)
inplace_swap_row (就地交換列)
mean_variance_axis (均值變異數軸)
inplace_csr_row_normalize_l1 (就地CSR列L1正規化)
inplace_csr_row_normalize_l2 (就地CSR列L2正規化)
single_source_shortest_path_length (單源最短路徑長度)
sample_without_replacement (無放回抽樣)
min_pos (最小正值)
MetadataRequest (元數據請求)
MetadataRouter (元數據路由器)
MethodMapping (方法映射)
get_routing_for_object (取得物件路由)
process_routing (處理路由)
all_displays (所有顯示)
all_estimators (所有估算器)
all_functions (所有函數)
check_estimator (檢查估算器)
parametrize_with_checks (使用檢查參數化)
estimator_checks_generator (估算器檢查生成器)
Parallel (平行)
delayed (延遲)
Recently Deprecated (最近已棄用)
parallel_backend (平行後端)
register_parallel_backend (註冊平行後端)
API參考
sklearn.kernel_ridge
sklearn.kernel_ridge
#
核嶺迴歸。
使用者指南。
更多細節請參閱
核嶺迴歸
章節。
KernelRidge
核嶺迴歸。