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NVIDIA cuML

  • Introduction
  • User Guide
  • Zero Code Change Acceleration
  • API Reference
  • FIL
  • References
  • GitHub
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NVIDIA cuML - Home NVIDIA cuML - Home

NVIDIA cuML

  • Introduction
  • User Guide
  • Zero Code Change Acceleration
  • API Reference
  • FIL
  • References
  • 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
    • Zero Code Change Acceleration
    • Logging and Profiling
    • Limitations
    • FAQ
    • 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
  • 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
  • Zero Code Change Acceleration
  • Examples

Examples#

Here we provide a few examples of using cuml.accel. The code for the examples in this section is available in the cuML GitHub repository at 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

previous

Benchmarks

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Zero Code Change Acceleration: Getting Started with cuml.accel

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