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| compile_package_jars | Compile Scala sources into a Java Archive (jar) |
| connection_config | Read configuration values for a connection |
| copy_to | Copy a local R data frame to Spark |
| copy_to.spark_connection | Copy a local R data frame to Spark |
| ensure | Enforce Specific Structure for R Objects |
| ensure_scalar_boolean | Enforce Specific Structure for R Objects |
| ensure_scalar_character | Enforce Specific Structure for R Objects |
| ensure_scalar_double | Enforce Specific Structure for R Objects |
| ensure_scalar_integer | Enforce Specific Structure for R Objects |
| find_scalac | Discover the Scala Compiler |
| ft_binarizer | Feature Transformation - Binarizer |
| ft_bucketizer | Feature Transformation - Bucketizer |
| ft_discrete_cosine_transform | Feature Transformation - Discrete Cosine Transform (DCT) |
| ft_elementwise_product | Feature Transformation - ElementwiseProduct |
| ft_index_to_string | Feature Transformation - IndexToString |
| ft_one_hot_encoder | Feature Transformation - OneHotEncoder |
| ft_quantile_discretizer | Feature Transformation - QuantileDiscretizer |
| ft_sql_transformer | Feature Transformation - SQLTransformer |
| ft_string_indexer | Feature Transformation - StringIndexer |
| ft_vector_assembler | Feature Transformation - VectorAssembler |
| hive_context | Get the HiveContext associated with a connection |
| invoke | Execute a method on a remote Java object |
| invoke_new | Execute a method on a remote Java object |
| invoke_static | Execute a method on a remote Java object |
| java_context | Get the JavaSparkContext associated with a connection |
| ml_als_factorization | Spark ML - Alternating Least Squares (ALS) matrix factorization. |
| ml_binary_classification_eval | Spark ML - Binary Classification Evaluator |
| ml_classification_eval | Spark ML - Classification Evaluator |
| ml_create_dummy_variables | Create Dummy Variables |
| ml_decision_tree | Spark ML - Decision Trees |
| ml_generalized_linear_regression | Spark ML - Generalized Linear Regression |
| ml_gradient_boosted_trees | Spark ML - Gradient-Boosted Tree |
| ml_kmeans | Spark ML - K-Means Clustering |
| ml_lda | Spark ML - Latent Dirichlet Allocation |
| ml_linear_regression | Spark ML - Linear Regression |
| ml_load | Save / Load a Spark ML Model Fit |
| ml_logistic_regression | Spark ML - Logistic Regression |
| ml_model | Create an ML Model Object |
| ml_multilayer_perceptron | Spark ML - Multilayer Perceptron |
| ml_naive_bayes | Spark ML - Naive-Bayes |
| ml_one_vs_rest | Spark ML - One vs Rest |
| ml_options | Provide Options for Spark.ML Routines |
| ml_pca | Spark ML - Principal Components Analysis |
| ml_prepare_dataframe | Prepare a Spark DataFrame for Spark ML Routines |
| ml_prepare_features | Pre-process the Inputs to a Spark ML Routine |
| ml_prepare_inputs | Pre-process the Inputs to a Spark ML Routine |
| ml_prepare_response_features_intercept | Pre-process the Inputs to a Spark ML Routine |
| ml_random_forest | Spark ML - Random Forests |
| ml_save | Save / Load a Spark ML Model Fit |
| ml_saveload | Save / Load a Spark ML Model Fit |
| ml_survival_regression | Spark ML - Survival Regression |
| ml_tree_feature_importance | Spark ML - Feature Importance for Tree Models |
| na.replace | Replace Missing Values in Objects |
| registered_extensions | Register a package that implements a Spark extension |
| register_extension | Register a package that implements a Spark extension |
| sdf-saveload | Save / Load a Spark DataFrame |
| sdf_copy_to | Copy an Object into Spark |
| sdf_import | Copy an Object into Spark |
| sdf_load_parquet | Save / Load a Spark DataFrame |
| sdf_load_table | Save / Load a Spark DataFrame |
| sdf_mutate | Mutate a Spark DataFrame |
| sdf_mutate_ | Mutate a Spark DataFrame |
| sdf_partition | Partition a Spark Dataframe |
| sdf_predict | Model Predictions with Spark DataFrames |
| sdf_read_column | Read a Column from a Spark DataFrame |
| sdf_register | Register a Spark DataFrame |
| sdf_sample | Randomly Sample Rows from a Spark DataFrame |
| sdf_save_parquet | Save / Load a Spark DataFrame |
| sdf_save_table | Save / Load a Spark DataFrame |
| sdf_sort | Sort a Spark DataFrame |
| sdf_with_unique_id | Add a Unique ID Column to a Spark DataFrame |
| spark_available_versions | Download and install various versions of Spark |
| spark_compilation_spec | Define a Spark Compilation Specification |
| spark_config | Read Spark Configuration |
| spark_connect | Connect to Spark |
| spark_connection | Get the spark_connection associated with an object |
| spark_context | Get the SparkContext associated with a connection |
| spark_dataframe | Get the Spark DataFrame associated with an object |
| spark_default_compilation_spec | Default Compilation Specification for Spark Extensions |
| spark_dependency | Define a Spark dependency |
| spark_disconnect | Disconnect from Spark |
| spark_disconnect_all | Disconnect from Spark |
| spark_install | Download and install various versions of Spark |
| spark_installed_versions | Download and install various versions of Spark |
| spark_install_dir | Download and install various versions of Spark |
| spark_install_tar | Download and install various versions of Spark |
| spark_jobj | Get the spark_jobj associated with an object |
| spark_log | Retrieves entries from the Spark log |
| spark_read_csv | Read a CSV file into a Spark DataFrame |
| spark_read_json | Read a JSON file into a Spark DataFrame |
| spark_read_parquet | Read a Parquet file into a Spark DataFrame |
| spark_session | Get the Spark Session associated with a connection |
| spark_uninstall | Download and install various versions of Spark |
| spark_version | Version of Spark for a connection |
| spark_version_from_home | Version of Spark for a connection |
| spark_web | Open the Spark web interface |
| spark_write_csv | Write a Spark DataFrame to a CSV |
| spark_write_json | Write a Spark DataFrame to a JSON file |
| spark_write_parquet | Write a Spark DataFrame to a Parquet file |
| tbl_cache | Load a table into memory |
| tbl_uncache | Unload table from memory |