切换导航

索引

_

__init__() (dask_ml.cluster.KMeans 方法) (dask_ml.cluster.SpectralClustering 方法) (dask_ml.compose.ColumnTransformer 方法), [1] (dask_ml.decomposition.IncrementalPCA 方法) (dask_ml.decomposition.PCA 方法) (dask_ml.decomposition.TruncatedSVD 方法) (dask_ml.ensemble.BlockwiseVotingClassifier 方法) (dask_ml.ensemble.BlockwiseVotingRegressor 方法) (dask_ml.feature_extraction.text.CountVectorizer 方法) (dask_ml.feature_extraction.text.FeatureHasher 方法) (dask_ml.feature_extraction.text.HashingVectorizer 方法) (dask_ml.impute.SimpleImputer 方法) (dask_ml.linear_model.LinearRegression 方法) (dask_ml.linear_model.LogisticRegression 方法) (dask_ml.linear_model.PoissonRegression 方法) (dask_ml.model_selection.GridSearchCV 方法) (dask_ml.model_selection.HyperbandSearchCV 方法) (dask_ml.model_selection.IncrementalSearchCV 方法) (dask_ml.model_selection.InverseDecaySearchCV 方法) (dask_ml.model_selection.KFold 方法) (dask_ml.model_selection.RandomizedSearchCV 方法) (dask_ml.model_selection.ShuffleSplit 方法) (dask_ml.model_selection.SuccessiveHalvingSearchCV 方法) (dask_ml.naive_bayes.GaussianNB 方法) (dask_ml.preprocessing.BlockTransformer 方法) (dask_ml.preprocessing.Categorizer 方法) (dask_ml.preprocessing.DummyEncoder 方法) (dask_ml.preprocessing.LabelEncoder 方法) (dask_ml.preprocessing.MinMaxScaler 方法) (dask_ml.preprocessing.OrdinalEncoder 方法) (dask_ml.preprocessing.PolynomialFeatures 方法) (dask_ml.preprocessing.QuantileTransformer 方法) (dask_ml.preprocessing.RobustScaler 方法) (dask_ml.preprocessing.StandardScaler 方法) (dask_ml.wrappers.Incremental 方法) (dask_ml.wrappers.ParallelPostFit 方法)

A

accuracy_score() (在 dask_ml.metrics 模块中)

B

BlockTransformer (dask_ml.preprocessing 中的类)

BlockwiseVotingClassifier (dask_ml.ensemble 中的类) BlockwiseVotingRegressor (dask_ml.ensemble 中的类)

C

Categorizer (dask_ml.preprocessing 中的类)

ColumnTransformer (dask_ml.compose 中的类), [1] CountVectorizer (dask_ml.feature_extraction.text 中的类)

D

dask_ml.cluster 模块 dask_ml.compose 模块 dask_ml.datasets 模块 dask_ml.decomposition 模块 dask_ml.ensemble 模块

dask_ml.impute 模块 dask_ml.linear_model 模块 dask_ml.model_selection 模块 dask_ml.naive_bayes 模块 dask_ml.preprocessing 模块 DummyEncoder (dask_ml.preprocessing 中的类)

F

FeatureHasher (dask_ml.feature_extraction.text 中的类)

G

GaussianNB (dask_ml.naive_bayes 中的类)

GridSearchCV (dask_ml.model_selection 中的类)

H

HashingVectorizer (dask_ml.feature_extraction.text 中的类)

HyperbandSearchCV (dask_ml.model_selection 中的类)

I

Incremental (dask_ml.wrappers 中的类) IncrementalPCA (dask_ml.decomposition 中的类)

IncrementalSearchCV (dask_ml.model_selection 中的类) InverseDecaySearchCV (dask_ml.model_selection 中的类)

K

KFold (dask_ml.model_selection 中的类)

KMeans (dask_ml.cluster 中的类)

L

LabelEncoder (dask_ml.preprocessing 中的类) LinearRegression (dask_ml.linear_model 中的类)

log_loss() (在 dask_ml.metrics 模块中) LogisticRegression (dask_ml.linear_model 中的类)

M

make_blobs() (在 dask_ml.datasets 模块中) make_classification() (在 dask_ml.datasets 模块中) make_classification_df() (在 dask_ml.datasets 模块中) make_column_transformer() (在 dask_ml.compose 模块中), [1] make_counts() (在 dask_ml.datasets 模块中)

make_regression() (在 dask_ml.datasets 模块中) mean_absolute_error() (在 dask_ml.metrics 模块中) mean_absolute_percentage_error() (在 dask_ml.metrics 模块中) mean_squared_error() (在 dask_ml.metrics 模块中) mean_squared_log_error() (在 dask_ml.metrics 模块中) MinMaxScaler (dask_ml.preprocessing 中的类)

O

OrdinalEncoder (dask_ml.preprocessing 中的类)

P

ParallelPostFit (dask_ml.wrappers 中的类) PCA (dask_ml.decomposition 中的类)

PoissonRegression (dask_ml.linear_model 中的类) PolynomialFeatures (dask_ml.preprocessing 中的类)

Q

QuantileTransformer (dask_ml.preprocessing 中的类)

R

r2_score() (在 dask_ml.metrics 模块中)

RandomizedSearchCV (dask_ml.model_selection 中的类) RobustScaler (dask_ml.preprocessing 中的类)

S

ShuffleSplit (dask_ml.model_selection 中的类) SimpleImputer (dask_ml.impute 中的类)

SpectralClustering (dask_ml.cluster 中的类) StandardScaler (dask_ml.preprocessing 中的类) SuccessiveHalvingSearchCV (dask_ml.model_selection 中的类)

T

train_test_split() (在 dask_ml.model_selection 模块中)

TruncatedSVD (dask_ml.decomposition 中的类)

模

模块 dask_ml.cluster dask_ml.compose dask_ml.datasets dask_ml.decomposition dask_ml.ensemble dask_ml.impute dask_ml.linear_model dask_ml.model_selection dask_ml.naive_bayes dask_ml.preprocessing