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NVIDIA cuML
Introduction
User Guide
Zero Code Change Acceleration
API Reference
FIL
References
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NVIDIA cuML
Introduction
User Guide
Zero Code Change Acceleration
API Reference
FIL
References
Choose version
System Settings
Light
Dark
GitHub
Table of Contents
Introduction
User Guide
Training and Evaluating Machine Learning Models
Model Serialization and Persistence
Dask Multi-GPU Guide
Advanced Topics
Health Checks
Supported Versions
Zero Code Change Acceleration
cuml.accel Overview
Getting Started with cuml.accel
Accelerated Estimator Support
Logging and Profiling
Benchmarks
Examples
Zero Code Change Acceleration: Getting Started with cuml.accel
Performance Profiling and Debugging with cuml.accel
K-Means Clustering: scikit-learn to GPU with Zero Code Changes
Accelerating Third-Party Applications
Exporting cuml.accel Models to ONNX
Hyperparameter Search with RandomizedSearchCV
Frequently Asked Questions
API Reference
cuml
set_global_output_type
using_output_type
cuml.accel
install
enabled
profile
is_proxy
cuml.benchmark
cuml.cluster
AgglomerativeClustering
DBSCAN
KMeans
SpectralClustering
spectral_clustering
HDBSCAN
all_points_membership_vectors
membership_vector
approximate_predict
cuml.compose
ColumnTransformer
make_column_transformer
make_column_selector
cuml.covariance
EmpiricalCovariance
LedoitWolf
cuml.dask
DBSCAN
KMeans
PCA
TruncatedSVD
RandomForestClassifier
RandomForestRegressor
LinearRegression
Ridge
Lasso
ElasticNet
UMAP
MultinomialNB
NearestNeighbors
KNeighborsClassifier
KNeighborsRegressor
LabelBinarizer
OneHotEncoder
TfidfTransformer
make_blobs
make_classification
make_regression
CD
BaseEstimator
DelayedParallelFunc
DelayedPredictionMixin
DelayedTransformMixin
DelayedInverseTransformMixin
cuml.datasets
make_blobs
make_classification
make_regression
make_arima
cuml.decomposition
PCA
IncrementalPCA
TruncatedSVD
cuml.ensemble
RandomForestClassifier
RandomForestRegressor
cuml.explainer
KernelExplainer
PermutationExplainer
TreeExplainer
cuml.feature_extraction
CountVectorizer
HashingVectorizer
TfidfVectorizer
cuml.fil
ForestInference
cuml.kernel_ridge
KernelRidge
cuml.linear_model
LinearRegression
LogisticRegression
Ridge
Lasso
ElasticNet
MBSGDClassifier
MBSGDRegressor
Lars
cuml.manifold
UMAP
TSNE
SpectralEmbedding
spectral_embedding
fuzzy_simplicial_set
simplicial_set_embedding
find_ab_params
cuml.metrics
accuracy_score
confusion_matrix
kl_divergence
log_loss
roc_auc_score
precision_recall_curve
trustworthiness
mean_absolute_error
mean_squared_error
mean_squared_log_error
median_absolute_error
r2_score
adjusted_rand_score
entropy
homogeneity_score
silhouette_score
silhouette_samples
completeness_score
mutual_info_score
v_measure_score
pairwise_distances
sparse_pairwise_distances
nan_euclidean_distances
pairwise_kernels
cuml.model_selection
train_test_split
KFold
cuml.multiclass
OneVsOneClassifier
OneVsRestClassifier
cuml.naive_bayes
BernoulliNB
CategoricalNB
ComplementNB
GaussianNB
MultinomialNB
cuml.neighbors
NearestNeighbors
KNeighborsClassifier
KNeighborsRegressor
KernelDensity
cuml.preprocessing
Binarizer
FunctionTransformer
KBinsDiscretizer
KernelCenterer
LabelBinarizer
LabelEncoder
MaxAbsScaler
MinMaxScaler
MissingIndicator
Normalizer
OneHotEncoder
PolynomialFeatures
PowerTransformer
QuantileTransformer
RobustScaler
SimpleImputer
StandardScaler
TargetEncoder
add_dummy_feature
binarize
label_binarize
maxabs_scale
minmax_scale
normalize
robust_scale
scale
PorterStemmer
cuml.random_projection
GaussianRandomProjection
SparseRandomProjection
johnson_lindenstrauss_min_dim
cuml.solvers
CD
QN
SGD
cuml.svm
SVC
SVR
LinearSVC
LinearSVR
cuml.tsa
ARIMA
AutoARIMA
ExponentialSmoothing
FIL
References
API Reference
cuml.accel
enabled
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enabled
#
cuml.accel.
enabled
(
)
→
bool
[source]
#
Returns whether the accelerator is enabled.
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enabled()
