{
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  "Package": "catboostr",
  "Title": "Gradient Boosting on Decision Trees",
  "Version": "1.2.10-1",
  "Description": "Open-source gradient boosting on decision trees with\ncategorical features support out of the box. A fork of the\nupstream CatBoost R package packaged for CRAN-style\ninstallation; the R API is a strict superset of upstream's\ncatboost.* interface.",
  "License": "Apache License (== 2.0)",
  "SystemRequirements": "CMake (>= 3.15), C++20, clang and clang++ compiler,\nPython3, Cython, Perl, GNU Make or Ninja",
  "Authors@R": "c(\nperson(\"Dennis Alexis Valin\", \"Dittrich\", role = c(\"cre\", \"aut\"),\nemail = \"davdittrich@gmail.com\",\ncomment = \"Fork maintainer\"),\nperson(\"Nikita\", \"Dmitriev\", role = \"aut\"),\nperson(\"Andrey\", \"Gulin\", role = \"aut\",\ncomment = \"Chief researcher, author of the algorithm and the first implementation\"),\nperson(\"Anna Veronika\", \"Dorogush\", role = \"aut\"),\nperson(\"Stanislav\", \"Kirillov\", role = \"aut\"),\nperson(\"Victor\", \"Omelyanenko\", role = \"aut\"),\nperson(\"Evgueni\", \"Petrov\", role = \"aut\"),\nperson(\"Andrey\", \"Mishenko\", role = \"aut\"),\nperson(\"Pavel\", \"Kalinin\", role = \"aut\"),\nperson(\"Vyacheslav\", \"Alipov\", role = \"aut\"),\nperson(\"Egor\", \"Samosvat\", role = \"aut\"),\nperson(\"Alexander\", \"Kobotov\", role = \"aut\"),\nperson(\"Dmitry\", \"Schelchkov\", role = \"aut\"),\nperson(\"Vasily\", \"Ershov\", role = \"aut\", comment = \"GPU implementation\"),\nperson(\"Vyacheslav\", \"Murashkin\", role = \"aut\", comment = \"R Package\"),\nperson(\"Roman\", \"Nefyodov\", role = \"aut\", comment = \"R Package\"),\nperson(\"Anastasia\", \"Bezzubtseva\", role = \"aut\", comment = \"R Package\"),\nperson(\"Alexey\", \"Gorchakov\", role = \"aut\", comment = \"R Package\"),\nperson(\"Ivan\", \"Karev\", role = \"aut\", comment = \"Visualisation\"),\nperson(\"Sergey\", \"Berezhnoy\", role = \"aut\", comment = \"Visualisation\"),\nperson(\"Roman\", \"Rybalchenko\", role = \"aut\", comment = \"Visualisation\"),\nperson(\"Valeriy\", \"Babushkin\", role = \"aut\", comment = \"Tutorials\"),\nperson(\"Mikhail\", \"Pershin\", role = \"aut\", comment = \"Tutorials\"),\nperson(\"Emil\", \"Kayumov\", role = \"aut\", comment = \"Tutorials\"),\nperson(\"Evgeny\", \"Eltyshev\", role = \"aut\", comment = \"Tutorials\"),\nperson(\"Alexander\", \"Baranov\", role = \"aut\", comment = \"CoreML support\"),\nperson(\"Dmitry\", \"Oganesyan\", role = \"aut\", comment = \"R Package\"),\nperson(\"Dmitry\", \"Baksheev\", role = \"aut\"),\nperson(\"CatBoost DevTeam\", role = c(\"aut\", \"cph\")),\nperson(\"WLOG Solutions\", role = \"ctb\",\ncomment = \"R package preparation for CRAN submission\")\n)",
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  "Repository": "https://davdittrich.r-universe.dev",
  "Date/Publication": "2026-08-12 07:53:29 UTC",
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  "Author": "Dennis Alexis Valin Dittrich [cre, aut] (Fork maintainer),\nNikita Dmitriev [aut],\nAndrey Gulin [aut] (Chief researcher, author of the algorithm and the\nfirst implementation),\nAnna Veronika Dorogush [aut],\nStanislav Kirillov [aut],\nVictor Omelyanenko [aut],\nEvgueni Petrov [aut],\nAndrey Mishenko [aut],\nPavel Kalinin [aut],\nVyacheslav Alipov [aut],\nEgor Samosvat [aut],\nAlexander Kobotov [aut],\nDmitry Schelchkov [aut],\nVasily Ershov [aut] (GPU implementation),\nVyacheslav Murashkin [aut] (R Package),\nRoman Nefyodov [aut] (R Package),\nAnastasia Bezzubtseva [aut] (R Package),\nAlexey Gorchakov [aut] (R Package),\nIvan Karev [aut] (Visualisation),\nSergey Berezhnoy [aut] (Visualisation),\nRoman Rybalchenko [aut] (Visualisation),\nValeriy Babushkin [aut] (Tutorials),\nMikhail Pershin [aut] (Tutorials),\nEmil Kayumov [aut] (Tutorials),\nEvgeny Eltyshev [aut] (Tutorials),\nAlexander Baranov [aut] (CoreML support),\nDmitry Oganesyan [aut] (R Package),\nDmitry Baksheev [aut],\nCatBoost DevTeam [aut, cph],\nWLOG Solutions [ctb] (R package preparation for CRAN submission)",
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    "id": "15b2b989c22e680dc5de975741d43312d2e45e2e",
    "author": "Dennis Alexis Valin Dittrich <davdittrich@gmail.com>",
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    "message": "fix(R): remove Rd-parser-breaking apostrophe in catboost.train docs\n\nA bare, unmatched apostrophe inside a \\code{} span (\"this machine's own\npar-framework port\") is lexed by R's \\code{} syntax-highlighter as an\nopening R single-quote string literal that never closes, silently\nswallowing every macro after it for the rest of the file -- root cause\nof the \"newline within quoted string\" / cascading \"unknown macro\n'\\item'\" warnings present in every build log this session. Reproduced\nand verified the fix with a minimal Rd snippet via tools::checkRd()\nbefore touching the real file. This warning never hard-failed local\nR CMD build/check, but hangs r-universe's separate PDF-manual\ngeneration step (Rd2pdf via pdflatex/xelatex) long enough to hit its\n60-minute job timeout.\n\ncatboost-8z4.126.2.1\n",
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  "_exports": [
    "catboost.calc_feature_statistics",
    "catboost.calc_leaf_indexes",
    "catboost.caret",
    "catboost.compare",
    "catboost.compute_training_options",
    "catboost.create_metric_calcer",
    "catboost.cv",
    "catboost.dataset_statistics",
    "catboost.Dictionary",
    "catboost.dictionary.apply",
    "catboost.dictionary.end_of_sentence_token_id",
    "catboost.dictionary.fit",
    "catboost.dictionary.get_token",
    "catboost.dictionary.get_tokens",
    "catboost.dictionary.get_top_tokens",
    "catboost.dictionary.load",
    "catboost.dictionary.min_unused_token_id",
    "catboost.dictionary.save",
    "catboost.dictionary.size",
    "catboost.dictionary.unknown_token_id",
    "catboost.drop_unused_features",
    "catboost.eval_feature",
    "catboost.eval_metric",
    "catboost.eval_metrics",
    "catboost.features_data.get_cat_feature_count",
    "catboost.features_data.get_feature_count",
    "catboost.features_data.get_feature_names",
    "catboost.features_data.get_num_feature_count",
    "catboost.features_data.get_object_count",
    "catboost.FeaturesData",
    "catboost.get_best_iteration",
    "catboost.get_best_score",
    "catboost.get_borders",
    "catboost.get_evals_result",
    "catboost.get_feature_importance",
    "catboost.get_leaf_values",
    "catboost.get_leaf_weights",
    "catboost.get_metadata",
    "catboost.get_model_feature_names",
    "catboost.get_model_params",
    "catboost.get_object_importance",
    "catboost.get_plain_params",
    "catboost.get_probability_threshold",
    "catboost.get_roc_curve",
    "catboost.get_scale_and_bias",
    "catboost.get_test_eval",
    "catboost.get_test_evals",
    "catboost.get_tree_leaf_counts",
    "catboost.grid_search",
    "catboost.iterate_leaf_indexes",
    "catboost.load_model",
    "catboost.load_pool",
    "catboost.model_based_eval",
    "catboost.normalize_model_from_pool",
    "catboost.plot_partial_dependence",
    "catboost.plot_predictions",
    "catboost.plot_tree",
    "catboost.pool.get_baseline",
    "catboost.pool.get_cat_feature_indices",
    "catboost.pool.get_embedding_feature_indices",
    "catboost.pool.get_feature_names",
    "catboost.pool.get_features",
    "catboost.pool.get_group_id_hash",
    "catboost.pool.get_label",
    "catboost.pool.get_text_feature_indices",
    "catboost.pool.get_weight",
    "catboost.pool.has_label",
    "catboost.pool.is_empty",
    "catboost.pool.is_quantized",
    "catboost.pool.num_col",
    "catboost.pool.num_pairs",
    "catboost.pool.num_row",
    "catboost.pool.quantize",
    "catboost.pool.save",
    "catboost.pool.save_quantization_borders",
    "catboost.pool.set_baseline",
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    "catboost.pool.set_group_id",
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    "catboost.pool.slice",
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    "catboost.predict",
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    "catboost.run_worker",
    "catboost.sample_gaussian_process",
    "catboost.save_borders",
    "catboost.save_model",
    "catboost.save_pool",
    "catboost.select_features",
    "catboost.set_leaf_values",
    "catboost.set_metadata",
    "catboost.set_probability_threshold",
    "catboost.set_scale_and_bias",
    "catboost.shrink",
    "catboost.staged_predict",
    "catboost.staged_predict_log_proba",
    "catboost.sum_models",
    "catboost.Tokenizer",
    "catboost.tokenizer.tokenize",
    "catboost.train",
    "catboost.virtual_ensembles_predict"
  ],
  "_help": [
    {
      "page": "catboost.calc_feature_statistics",
      "title": "Calculate feature statistics.",
      "topics": [
        "catboost.calc_feature_statistics"
      ]
    },
    {
      "page": "catboost.calc_leaf_indexes",
      "title": "Calculate the leaf index each object falls into, per tree",
      "topics": [
        "catboost.calc_leaf_indexes"
      ]
    },
    {
      "page": "catboost.caret",
      "title": "Support caret interface",
      "topics": [
        "catboost.caret"
      ]
    },
    {
      "page": "catboost.compare",
      "title": "Compare metrics of two models.",
      "topics": [
        "catboost.compare"
      ]
    },
    {
      "page": "catboost.compute_training_options",
      "title": "Resolve training options without training a model",
      "topics": [
        "catboost.compute_training_options"
      ]
    },
    {
      "page": "catboost.create_metric_calcer",
      "title": "Create a batch metric calcer",
      "topics": [
        "catboost.create_metric_calcer"
      ]
    },
    {
      "page": "catboost.cv",
      "title": "Cross-validate model.",
      "topics": [
        "catboost.cv"
      ]
    },
    {
      "page": "catboost.dataset_statistics",
      "title": "Calculate dataset statistics",
      "topics": [
        "catboost.dataset_statistics"
      ]
    },
    {
      "page": "catboost.Dictionary",
      "title": "Create text Dictionary",
      "topics": [
        "catboost.Dictionary"
      ]
    },
    {
      "page": "catboost.dictionary.apply",
      "title": "Apply a Dictionary",
      "topics": [
        "catboost.dictionary.apply"
      ]
    },
    {
      "page": "catboost.dictionary.end_of_sentence_token_id",
      "title": "Identifier of the end-of-sentence token",
      "topics": [
        "catboost.dictionary.end_of_sentence_token_id"
      ]
    },
    {
      "page": "catboost.dictionary.fit",
      "title": "Train a Dictionary",
      "topics": [
        "catboost.dictionary.fit"
      ]
    },
    {
      "page": "catboost.dictionary.get_token",
      "title": "Get a single token by id",
      "topics": [
        "catboost.dictionary.get_token"
      ]
    },
    {
      "page": "catboost.dictionary.get_tokens",
      "title": "Get tokens by id",
      "topics": [
        "catboost.dictionary.get_tokens"
      ]
    },
    {
      "page": "catboost.dictionary.get_top_tokens",
      "title": "Most frequent tokens",
      "topics": [
        "catboost.dictionary.get_top_tokens"
      ]
    },
    {
      "page": "catboost.dictionary.load",
      "title": "Load a Dictionary",
      "topics": [
        "catboost.dictionary.load"
      ]
    },
    {
      "page": "catboost.dictionary.min_unused_token_id",
      "title": "Smallest unused token identifier",
      "topics": [
        "catboost.dictionary.min_unused_token_id"
      ]
    },
    {
      "page": "catboost.dictionary.save",
      "title": "Save a Dictionary",
      "topics": [
        "catboost.dictionary.save"
      ]
    },
    {
      "page": "catboost.dictionary.size",
      "title": "Dictionary size",
      "topics": [
        "catboost.dictionary.size"
      ]
    },
    {
      "page": "catboost.dictionary.unknown_token_id",
      "title": "Identifier of the unknown-token placeholder",
      "topics": [
        "catboost.dictionary.unknown_token_id"
      ]
    },
    {
      "page": "catboost.drop_unused_features",
      "title": "Drop unused features information from model",
      "topics": [
        "catboost.drop_unused_features"
      ]
    },
    {
      "page": "catboost.eval_feature",
      "title": "Evaluate the impact of feature sets.",
      "topics": [
        "catboost.eval_feature"
      ]
    },
    {
      "page": "catboost.eval_metric",
      "title": "Evaluate a metric directly on raw label/approx arrays",
      "topics": [
        "catboost.eval_metric"
      ]
    },
    {
      "page": "catboost.eval_metrics",
      "title": "Calculate metrics.",
      "topics": [
        "catboost.eval_metrics"
      ]
    },
    {
      "page": "catboost.features_data.get_cat_feature_count",
      "title": "Number of categorical features in a FeaturesData",
      "topics": [
        "catboost.features_data.get_cat_feature_count"
      ]
    },
    {
      "page": "catboost.features_data.get_feature_count",
      "title": "Total number of features in a FeaturesData",
      "topics": [
        "catboost.features_data.get_feature_count"
      ]
    },
    {
      "page": "catboost.features_data.get_feature_names",
      "title": "Get feature names from a FeaturesData",
      "topics": [
        "catboost.features_data.get_feature_names"
      ]
    },
    {
      "page": "catboost.features_data.get_num_feature_count",
      "title": "Number of numerical features in a FeaturesData",
      "topics": [
        "catboost.features_data.get_num_feature_count"
      ]
    },
    {
      "page": "catboost.features_data.get_object_count",
      "title": "Number of objects in a FeaturesData",
      "topics": [
        "catboost.features_data.get_object_count"
      ]
    },
    {
      "page": "catboost.FeaturesData",
      "title": "Create a FeaturesData container",
      "topics": [
        "catboost.FeaturesData"
      ]
    },
    {
      "page": "catboost.get_best_iteration",
      "title": "Get best iteration",
      "topics": [
        "catboost.get_best_iteration"
      ]
    },
    {
      "page": "catboost.get_best_score",
      "title": "Get best score",
      "topics": [
        "catboost.get_best_score"
      ]
    },
    {
      "page": "catboost.get_borders",
      "title": "Get a model's float feature borders",
      "topics": [
        "catboost.get_borders"
      ]
    },
    {
      "page": "catboost.get_evals_result",
      "title": "Get evaluation results",
      "topics": [
        "catboost.get_evals_result"
      ]
    },
    {
      "page": "catboost.get_feature_importance",
      "title": "Calculate the feature importances",
      "topics": [
        "catboost.get_feature_importance"
      ]
    },
    {
      "page": "catboost.get_leaf_values",
      "title": "Get the model's tree leaf values",
      "topics": [
        "catboost.get_leaf_values"
      ]
    },
    {
      "page": "catboost.get_leaf_weights",
      "title": "Get the model's tree leaf weights",
      "topics": [
        "catboost.get_leaf_weights"
      ]
    },
    {
      "page": "catboost.get_metadata",
      "title": "Get model metadata",
      "topics": [
        "catboost.get_metadata"
      ]
    },
    {
      "page": "catboost.get_model_feature_names",
      "title": "Get the feature names used by a model",
      "topics": [
        "catboost.get_model_feature_names"
      ]
    },
    {
      "page": "catboost.get_model_params",
      "title": "Model parameters",
      "topics": [
        "catboost.get_model_params"
      ]
    },
    {
      "page": "catboost.get_object_importance",
      "title": "Calculate the object importances",
      "topics": [
        "catboost.get_object_importance"
      ]
    },
    {
      "page": "catboost.get_plain_params",
      "title": "Plain Model parameters",
      "topics": [
        "catboost.get_plain_params"
      ]
    },
    {
      "page": "catboost.get_probability_threshold",
      "title": "Get the binary-classification probability threshold",
      "topics": [
        "catboost.get_probability_threshold"
      ]
    },
    {
      "page": "catboost.get_roc_curve",
      "title": "Build a ROC curve",
      "topics": [
        "catboost.get_roc_curve"
      ]
    },
    {
      "page": "catboost.get_scale_and_bias",
      "title": "Get model scale and bias",
      "topics": [
        "catboost.get_scale_and_bias"
      ]
    },
    {
      "page": "catboost.get_test_eval",
      "title": "Get the model's raw predictions on its eval set",
      "topics": [
        "catboost.get_test_eval"
      ]
    },
    {
      "page": "catboost.get_test_evals",
      "title": "Get the model's raw predictions on all its eval sets",
      "topics": [
        "catboost.get_test_evals"
      ]
    },
    {
      "page": "catboost.get_tree_leaf_counts",
      "title": "Get the number of leaves in each tree of the model",
      "topics": [
        "catboost.get_tree_leaf_counts"
      ]
    },
    {
      "page": "catboost.grid_search",
      "title": "Exhaustive search over specified parameter values.",
      "topics": [
        "catboost.grid_search"
      ]
    },
    {
      "page": "catboost.iterate_leaf_indexes",
      "title": "Iterate the leaf index each object falls into, per tree",
      "topics": [
        "catboost.iterate_leaf_indexes"
      ]
    },
    {
      "page": "catboost.load_model",
      "title": "Load the model",
      "topics": [
        "catboost.load_model"
      ]
    },
    {
      "page": "catboost.load_pool",
      "title": "Create a dataset",
      "topics": [
        "catboost.load_pool"
      ]
    },
    {
      "page": "catboost.model_based_eval",
      "title": "Model-based feature evaluation.",
      "topics": [
        "catboost.model_based_eval"
      ]
    },
    {
      "page": "catboost.normalize_model_from_pool",
      "title": "Rescale a model so its raw predictions on a pool span [0, 1]",
      "topics": [
        "catboost.normalize_model_from_pool"
      ]
    },
    {
      "page": "catboost.plot_partial_dependence",
      "title": "Compute the partial dependence of the model on one or two features",
      "topics": [
        "catboost.plot_partial_dependence"
      ]
    },
    {
      "page": "catboost.plot_predictions",
      "title": "Vary one feature's value and observe the prediction",
      "topics": [
        "catboost.plot_predictions"
      ]
    },
    {
      "page": "catboost.plot_tree",
      "title": "Plot a single tree's structure.",
      "topics": [
        "catboost.plot_tree"
      ]
    },
    {
      "page": "catboost.pool.get_baseline",
      "title": "Get baseline from a Pool",
      "topics": [
        "catboost.pool.get_baseline"
      ]
    },
    {
      "page": "catboost.pool.get_cat_feature_indices",
      "title": "Get categorical feature indices from a Pool",
      "topics": [
        "catboost.pool.get_cat_feature_indices"
      ]
    },
    {
      "page": "catboost.pool.get_embedding_feature_indices",
      "title": "Get embedding feature indices from a Pool",
      "topics": [
        "catboost.pool.get_embedding_feature_indices"
      ]
    },
    {
      "page": "catboost.pool.get_feature_names",
      "title": "Get feature names from a Pool",
      "topics": [
        "catboost.pool.get_feature_names"
      ]
    },
    {
      "page": "catboost.pool.get_features",
      "title": "Get the feature matrix from a Pool",
      "topics": [
        "catboost.pool.get_features"
      ]
    },
    {
      "page": "catboost.pool.get_group_id_hash",
      "title": "Get group id hashes from a Pool",
      "topics": [
        "catboost.pool.get_group_id_hash"
      ]
    },
    {
      "page": "catboost.pool.get_label",
      "title": "Get labels from a Pool",
      "topics": [
        "catboost.pool.get_label"
      ]
    },
    {
      "page": "catboost.pool.get_text_feature_indices",
      "title": "Get text feature indices from a Pool",
      "topics": [
        "catboost.pool.get_text_feature_indices"
      ]
    },
    {
      "page": "catboost.pool.get_weight",
      "title": "Get weights from a Pool",
      "topics": [
        "catboost.pool.get_weight"
      ]
    },
    {
      "page": "catboost.pool.has_label",
      "title": "Has the Pool got label data",
      "topics": [
        "catboost.pool.has_label"
      ]
    },
    {
      "page": "catboost.pool.is_empty",
      "title": "Is the Pool empty",
      "topics": [
        "catboost.pool.is_empty"
      ]
    },
    {
      "page": "catboost.pool.is_quantized",
      "title": "Is the Pool quantized",
      "topics": [
        "catboost.pool.is_quantized"
      ]
    },
    {
      "page": "catboost.pool.num_col",
      "title": "Number of columns in a Pool",
      "topics": [
        "catboost.pool.num_col"
      ]
    },
    {
      "page": "catboost.pool.num_pairs",
      "title": "Number of pairs in a Pool",
      "topics": [
        "catboost.pool.num_pairs"
      ]
    },
    {
      "page": "catboost.pool.num_row",
      "title": "Number of rows in a Pool",
      "topics": [
        "catboost.pool.num_row"
      ]
    },
    {
      "page": "catboost.pool.quantize",
      "title": "Quantize a Pool",
      "topics": [
        "catboost.pool.quantize"
      ]
    },
    {
      "page": "catboost.pool.save",
      "title": "Save a quantized Pool to CatBoost's binary quantized-pool format",
      "topics": [
        "catboost.pool.save"
      ]
    },
    {
      "page": "catboost.pool.save_quantization_borders",
      "title": "Save a Pool's quantization borders to a file",
      "topics": [
        "catboost.pool.save_quantization_borders"
      ]
    },
    {
      "page": "catboost.pool.set_baseline",
      "title": "Set baseline on a Pool",
      "topics": [
        "catboost.pool.set_baseline"
      ]
    },
    {
      "page": "catboost.pool.set_feature_names",
      "title": "Set feature names on a Pool",
      "topics": [
        "catboost.pool.set_feature_names"
      ]
    },
    {
      "page": "catboost.pool.set_group_id",
      "title": "Set group ids on a Pool",
      "topics": [
        "catboost.pool.set_group_id"
      ]
    },
    {
      "page": "catboost.pool.set_group_weight",
      "title": "Set group weights on a Pool",
      "topics": [
        "catboost.pool.set_group_weight"
      ]
    },
    {
      "page": "catboost.pool.set_pairs",
      "title": "Set pairs on a Pool",
      "topics": [
        "catboost.pool.set_pairs"
      ]
    },
    {
      "page": "catboost.pool.set_pairs_weight",
      "title": "Set pair weights on a Pool",
      "topics": [
        "catboost.pool.set_pairs_weight"
      ]
    },
    {
      "page": "catboost.pool.set_subgroup_id",
      "title": "Set subgroup ids on a Pool",
      "topics": [
        "catboost.pool.set_subgroup_id"
      ]
    },
    {
      "page": "catboost.pool.set_timestamp",
      "title": "Set timestamps on a Pool",
      "topics": [
        "catboost.pool.set_timestamp"
      ]
    },
    {
      "page": "catboost.pool.set_weight",
      "title": "Set weights on a Pool",
      "topics": [
        "catboost.pool.set_weight"
      ]
    },
    {
      "page": "catboost.pool.shape",
      "title": "Shape of a Pool",
      "topics": [
        "catboost.pool.shape"
      ]
    },
    {
      "page": "catboost.pool.slice",
      "title": "Slice a Pool",
      "topics": [
        "catboost.pool.slice"
      ]
    },
    {
      "page": "catboost.pool.train_eval_split",
      "title": "Split a Pool into train/eval subsets",
      "topics": [
        "catboost.pool.train_eval_split"
      ]
    },
    {
      "page": "catboost.predict",
      "title": "Get predictions from a CatBoost model",
      "topics": [
        "catboost.predict",
        "predict.catboost.Model"
      ]
    },
    {
      "page": "catboost.predict_log_proba",
      "title": "Predict class log-probabilities",
      "topics": [
        "catboost.predict_log_proba"
      ]
    },
    {
      "page": "catboost.randomized_search",
      "title": "Randomized search on hyper parameters.",
      "topics": [
        "catboost.randomized_search"
      ]
    },
    {
      "page": "catboost.restore_handle",
      "title": "Restore or complete model handle after de-serializing",
      "topics": [
        "catboost.restore_handle"
      ]
    },
    {
      "page": "catboost.run_worker",
      "title": "Run a distributed-training worker.",
      "topics": [
        "catboost.run_worker"
      ]
    },
    {
      "page": "catboost.sample_gaussian_process",
      "title": "Sample from a Gaussian Process posterior",
      "topics": [
        "catboost.sample_gaussian_process"
      ]
    },
    {
      "page": "catboost.save_borders",
      "title": "Save a model's float feature borders to a file",
      "topics": [
        "catboost.save_borders"
      ]
    },
    {
      "page": "catboost.save_model",
      "title": "Save the model",
      "topics": [
        "catboost.save_model"
      ]
    },
    {
      "page": "catboost.save_pool",
      "title": "Save the dataset",
      "topics": [
        "catboost.save_pool"
      ]
    },
    {
      "page": "catboost.select_features",
      "title": "Select the best features by recursive elimination.",
      "topics": [
        "catboost.select_features"
      ]
    },
    {
      "page": "catboost.set_leaf_values",
      "title": "Set the model's tree leaf values",
      "topics": [
        "catboost.set_leaf_values"
      ]
    },
    {
      "page": "catboost.set_metadata",
      "title": "Set model metadata",
      "topics": [
        "catboost.set_metadata"
      ]
    },
    {
      "page": "catboost.set_probability_threshold",
      "title": "Set the binary-classification probability threshold",
      "topics": [
        "catboost.set_probability_threshold"
      ]
    },
    {
      "page": "catboost.set_scale_and_bias",
      "title": "Set model scale and bias",
      "topics": [
        "catboost.set_scale_and_bias"
      ]
    },
    {
      "page": "catboost.shrink",
      "title": "Shrink the model",
      "topics": [
        "catboost.shrink"
      ]
    },
    {
      "page": "catboost.staged_predict",
      "title": "Apply the model for each tree",
      "topics": [
        "catboost.staged_predict"
      ]
    },
    {
      "page": "catboost.staged_predict_log_proba",
      "title": "Predict class log-probabilities at each stage",
      "topics": [
        "catboost.staged_predict_log_proba"
      ]
    },
    {
      "page": "catboost.sum_models",
      "title": "Sum models.",
      "topics": [
        "catboost.sum_models"
      ]
    },
    {
      "page": "catboost.Tokenizer",
      "title": "Create text Tokenizer",
      "topics": [
        "catboost.Tokenizer"
      ]
    },
    {
      "page": "catboost.tokenizer.tokenize",
      "title": "Tokenize a string",
      "topics": [
        "catboost.tokenizer.tokenize"
      ]
    },
    {
      "page": "catboost.train",
      "title": "Train the model",
      "topics": [
        "catboost.train"
      ]
    },
    {
      "page": "catboost.virtual_ensembles_predict",
      "title": "Apply the model with several virtual ensembles",
      "topics": [
        "catboost.virtual_ensembles_predict"
      ]
    },
    {
      "page": "dim.catboost.Pool",
      "title": "Dimensions of catboost.Pool",
      "topics": [
        "dim.catboost.Pool"
      ]
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    {
      "page": "dimnames.catboost.Pool",
      "title": "Dimension names of catboost.Pool",
      "topics": [
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      ]
    },
    {
      "page": "head.catboost.Pool",
      "title": "Head of catboost.Pool",
      "topics": [
        "head.catboost.Pool"
      ]
    },
    {
      "page": "print.catboost.Model",
      "title": "Print basic information about model",
      "topics": [
        "print.catboost.Model"
      ]
    },
    {
      "page": "print.catboost.Pool",
      "title": "Print catboost.Pool",
      "topics": [
        "print.catboost.Pool"
      ]
    },
    {
      "page": "summary.catboost.Model",
      "title": "Print basic information about model",
      "topics": [
        "summary.catboost.Model"
      ]
    },
    {
      "page": "tail.catboost.Pool",
      "title": "Tail of catboost.Pool",
      "topics": [
        "tail.catboost.Pool"
      ]
    }
  ],
  "_readme": "https://github.com/davdittrich/catboostr/raw/HEAD/README.md",
  "_rundeps": [
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  "_score": 3.180412632838324,
  "_indexed": true,
  "_nocasepkg": "catboostr",
  "_universes": [
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  "_binaries": [
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      "version": "1.2.10-1",
      "date": "2026-10-11T11:24:29.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "15b2b989c22e680dc5de975741d43312d2e45e2e",
      "fileid": "https://r2.ropensci.org/9fe9b7e3a3283700a584ffde07c4a5186d3cca94ae834b456db9ad2a07f959fc",
      "status": "success",
      "buildurl": "https://github.com/r-universe/davdittrich/actions/runs/38133247860"
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  ]
}