Package: sparklyr
Type: Package
Title: R Interface to Apache Spark
Version: 1.3.1
Authors@R: c(
    person("Javier", "Luraschi", email = "javier@rstudio.com", role = "aut"),
    person("Kevin", "Kuo", role = "aut", email = "kevin.kuo@rstudio.com",
           comment = c(ORCID = "0000-0001-7803-7901")),
    person("Kevin", "Ushey", role = "aut", email = "kevin@rstudio.com"),
    person("JJ", "Allaire", role = "aut", email = "jj@rstudio.com"),
    person("Samuel", "Macedo", role = "ctb", email = "samuelmacedo@recife.ifpe.edu.br"),
    person("Hossein", "Falaki", role = "aut", email = "hossein@databricks.com"),
    person("Lu", "Wang", role = "aut", email = "lu.wang@databricks.com"),
    person("Andy", "Zhang", role = "aut", email = "yue.zhang@databricks.com"),
    person("Yitao", "Li", role = c("aut", "cre"), email = "yitao@rstudio.com"),
    person(family = "RStudio", role = c("cph")),
    person(family = "The Apache Software Foundation", role = c("aut", "cph"))
    )
Maintainer: Yitao Li <yitao@rstudio.com>
Description: R interface to Apache Spark, a fast and general engine for big data
    processing, see <http://spark.apache.org>. This package supports connecting to
    local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end,
    and provides an interface to Spark's built-in machine learning algorithms.
License: Apache License 2.0 | file LICENSE
SystemRequirements: Spark: 1.6.x or 2.x
URL: http://spark.rstudio.com
BugReports: https://github.com/sparklyr/sparklyr/issues
LazyData: TRUE
RoxygenNote: 7.1.0
Depends: R (>= 3.2)
Imports: assertthat, base64enc, config (>= 0.2), DBI (>= 0.6-1), dplyr
        (>= 0.7.2), dbplyr (>= 1.1.0), digest, forge, generics,
        globals, httr (>= 1.2.1), jsonlite (>= 1.4), methods, openssl
        (>= 0.8), purrr, r2d3, rappdirs, rjson (>= 0.2.20), rlang (>=
        0.1.4), rprojroot, rstudioapi (>= 0.10), tibble, tidyr, uuid,
        withr, xml2, ellipsis (>= 0.1.0)
Suggests: arrow (>= 0.14.0), broom, diffobj, foreach, ggplot2,
        iterators, janeaustenr, Lahman, mlbench, nnet, nycflights13,
        R6, RCurl, reshape2, shiny (>= 1.0.1), stringr, testthat
Collate: 'spark_data_build_types.R' 'arrow_data.R' 'spark_invoke.R'
        'spark_connection.R' 'avro_utils.R' 'config_settings.R'
        'config_spark.R' 'connection_instances.R'
        'connection_progress.R' 'connection_shinyapp.R'
        'spark_version.R' 'connection_spark.R' 'connection_viewer.R'
        'core_arrow.R' 'core_config.R' 'core_connection.R'
        'core_deserialize.R' 'core_gateway.R' 'core_invoke.R'
        'core_jobj.R' 'core_serialize.R' 'core_utils.R'
        'core_worker_config.R' 'data_copy.R' 'data_csv.R'
        'spark_schema_from_rdd.R' 'spark_apply_bundle.R'
        'spark_apply.R' 'data_interface.R' 'databricks_connection.R'
        'dbi_spark_connection.R' 'dbi_spark_result.R'
        'dbi_spark_table.R' 'dbi_spark_transactions.R' 'do_spark.R'
        'dplyr_do.R' 'utils.R' 'dplyr_hof.R' 'dplyr_spark.R'
        'dplyr_spark_connection.R' 'dplyr_spark_data.R'
        'dplyr_spark_table.R' 'dplyr_sql.R' 'imports.R'
        'install_spark.R' 'install_spark_versions.R'
        'install_spark_windows.R' 'install_tools.R' 'java.R'
        'jobs_api.R' 'kubernetes_config.R' 'shell_connection.R'
        'livy_connection.R' 'livy_install.R' 'livy_invoke.R'
        'livy_service.R' 'ml_classification_decision_tree_classifier.R'
        'ml_classification_gbt_classifier.R'
        'ml_classification_linear_svc.R'
        'ml_classification_logistic_regression.R'
        'ml_classification_multilayer_perceptron_classifier.R'
        'ml_classification_naive_bayes.R'
        'ml_classification_one_vs_rest.R'
        'ml_classification_random_forest_classifier.R'
        'ml_clustering.R' 'ml_clustering_bisecting_kmeans.R'
        'ml_clustering_gaussian_mixture.R' 'ml_clustering_kmeans.R'
        'ml_clustering_lda.R' 'ml_constructor_utils.R' 'ml_evaluate.R'
        'ml_evaluation_clustering.R' 'ml_evaluation_prediction.R'
        'ml_evaluator.R' 'ml_feature_binarizer.R'
        'ml_feature_bucketed_random_projection_lsh.R'
        'ml_feature_bucketizer.R' 'ml_feature_chisq_selector.R'
        'ml_feature_count_vectorizer.R' 'ml_feature_dct.R'
        'ml_feature_elementwise_product.R'
        'ml_feature_feature_hasher.R' 'ml_feature_hashing_tf.R'
        'ml_feature_idf.R' 'ml_feature_imputer.R'
        'ml_feature_index_to_string.R' 'ml_feature_interaction.R'
        'ml_feature_lsh_utils.R' 'ml_feature_max_abs_scaler.R'
        'ml_feature_min_max_scaler.R' 'ml_feature_minhash_lsh.R'
        'ml_feature_ngram.R' 'ml_feature_normalizer.R'
        'ml_feature_one_hot_encoder.R'
        'ml_feature_one_hot_encoder_estimator.R' 'ml_feature_pca.R'
        'ml_feature_polynomial_expansion.R'
        'ml_feature_quantile_discretizer.R' 'ml_feature_r_formula.R'
        'ml_feature_regex_tokenizer.R' 'ml_feature_sql_transformer.R'
        'ml_feature_standard_scaler.R'
        'ml_feature_stop_words_remover.R' 'ml_feature_string_indexer.R'
        'ml_feature_string_indexer_model.R' 'ml_feature_tokenizer.R'
        'ml_feature_vector_assembler.R' 'ml_feature_vector_indexer.R'
        'ml_feature_vector_slicer.R' 'ml_feature_word2vec.R'
        'ml_fpm_fpgrowth.R' 'ml_helpers.R' 'ml_mapping_tables.R'
        'ml_model_aft_survival_regression.R' 'ml_model_als.R'
        'ml_model_bisecting_kmeans.R' 'ml_model_constructors.R'
        'ml_model_decision_tree.R' 'ml_model_gaussian_mixture.R'
        'ml_model_generalized_linear_regression.R'
        'ml_model_gradient_boosted_trees.R' 'ml_model_helpers.R'
        'ml_model_isotonic_regression.R' 'ml_model_kmeans.R'
        'ml_model_lda.R' 'ml_model_linear_regression.R'
        'ml_model_linear_svc.R' 'ml_model_logistic_regression.R'
        'ml_model_naive_bayes.R' 'ml_model_one_vs_rest.R'
        'ml_model_random_forest.R' 'ml_model_utils.R'
        'ml_param_utils.R' 'ml_persistence.R' 'ml_pipeline.R'
        'ml_pipeline_utils.R' 'ml_print_utils.R'
        'ml_recommendation_als.R'
        'ml_regression_aft_survival_regression.R'
        'ml_regression_decision_tree_regressor.R'
        'ml_regression_gbt_regressor.R'
        'ml_regression_generalized_linear_regression.R'
        'ml_regression_isotonic_regression.R'
        'ml_regression_linear_regression.R'
        'ml_regression_random_forest_regressor.R' 'ml_stat.R'
        'ml_summary.R' 'ml_transformation_methods.R'
        'ml_transformer_and_estimator.R' 'ml_tuning.R'
        'ml_tuning_cross_validator.R'
        'ml_tuning_train_validation_split.R' 'ml_utils.R'
        'ml_validator_utils.R' 'mutation.R' 'na_actions.R'
        'new_model_multilayer_perceptron.R' 'precondition.R'
        'project_template.R' 'qubole_connection.R' 'reexports.R'
        'sdf_dim.R' 'sdf_interface.R' 'sdf_ml.R' 'sdf_saveload.R'
        'sdf_sequence.R' 'sdf_sql.R' 'sdf_stat.R' 'sdf_streaming.R'
        'sdf_utils.R' 'sdf_wrapper.R' 'spark_compile.R'
        'spark_context_config.R' 'spark_dataframe.R'
        'spark_extensions.R' 'spark_gateway.R'
        'spark_gen_embedded_sources.R' 'spark_globals.R' 'spark_hive.R'
        'spark_home.R' 'spark_submit.R'
        'spark_update_embedded_sources.R' 'spark_utils.R'
        'spark_verify_embedded_sources.R' 'stream_data.R'
        'stream_job.R' 'stream_operations.R' 'stream_shiny.R'
        'stream_view.R' 'tables_spark.R' 'tbl_spark.R'
        'test_connection.R' 'tidiers_ml_aft_survival_regression.R'
        'tidiers_ml_als.R' 'tidiers_ml_isotonic_regression.R'
        'tidiers_ml_lda.R' 'tidiers_ml_linear_models.R'
        'tidiers_ml_logistic_regression.R'
        'tidiers_ml_multilayer_perceptron.R' 'tidiers_ml_naive_bayes.R'
        'tidiers_ml_svc_models.R' 'tidiers_ml_tree_models.R'
        'tidiers_ml_unsupervised_models.R' 'tidiers_pca.R'
        'tidiers_utils.R' 'worker_apply.R' 'worker_connect.R'
        'worker_connection.R' 'worker_invoke.R' 'worker_log.R'
        'worker_main.R' 'yarn_cluster.R' 'yarn_config.R' 'yarn_ui.R'
        'zzz.R'
NeedsCompilation: no
Packaged: 2020-07-09 15:13:24 UTC; yitaoli
Author: Javier Luraschi [aut],
  Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>),
  Kevin Ushey [aut],
  JJ Allaire [aut],
  Samuel Macedo [ctb],
  Hossein Falaki [aut],
  Lu Wang [aut],
  Andy Zhang [aut],
  Yitao Li [aut, cre],
  RStudio [cph],
  The Apache Software Foundation [aut, cph]
Repository: CRAN
Date/Publication: 2020-07-09 20:00:03 UTC
Built: R 4.0.2; ; 2020-08-02 12:21:32 UTC; windows
