{
  "_id": "6a1025adacfb0bcc41c8ed85",
  "Package": "dials",
  "Title": "Tools for Creating Tuning Parameter Values",
  "Version": "1.4.3.9000",
  "Authors@R": "c(\nperson(\"Max\", \"Kuhn\", , \"max@posit.co\", role = \"aut\"),\nperson(\"Hannah\", \"Frick\", , \"hannah@posit.co\", role = c(\"aut\", \"cre\")),\nperson(\"Posit Software, PBC\", role = c(\"cph\", \"fnd\"),\ncomment = c(ROR = \"03wc8by49\"))\n)",
  "Description": "Many models contain tuning parameters (i.e. parameters\nthat cannot be directly estimated from the data). These tools\ncan be used to define objects for creating, simulating, or\nvalidating values for such parameters.",
  "License": "MIT + file LICENSE",
  "URL": "https://dials.tidymodels.org, https://github.com/tidymodels/dials",
  "BugReports": "https://github.com/tidymodels/dials/issues",
  "VignetteBuilder": "knitr",
  "ByteCompile": "true",
  "Config/Needs/website": "tidyverse/tidytemplate",
  "Config/testthat/edition": "3",
  "Config/usethis/last-upkeep": "2025-04-23",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Repository": "https://tidymodels.r-universe.dev",
  "Date/Publication": "2026-04-13 09:06:34 UTC",
  "RemoteUrl": "https://github.com/tidymodels/dials",
  "RemoteRef": "HEAD",
  "RemoteSha": "775432b3e23964deff7125e483b742b354316a78",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-13 09:23:45 UTC",
    "User": "root"
  },
  "Author": "Max Kuhn [aut],\nHannah Frick [aut, cre],\nPosit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>)",
  "Maintainer": "Hannah Frick <hannah@posit.co>",
  "MD5sum": "2bb9aeb35e4dc2df7028608344302bac",
  "_user": "tidymodels",
  "_type": "src",
  "_file": "dials_1.4.3.9000.tar.gz",
  "_fileid": "cc95a56464a9d4dbbbb4fac327d91e0723e1da9b37aa097f7026b2d005a48900",
  "_filesize": 451113,
  "_sha256": "cc95a56464a9d4dbbbb4fac327d91e0723e1da9b37aa097f7026b2d005a48900",
  "_created": "2026-05-13T09:23:45.000Z",
  "_published": "2026-05-22T09:45:17.212Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77355283500,
      "time": 181,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "6966372627"
    },
    {
      "job": 77355283932,
      "time": 184,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6966375132"
    },
    {
      "job": 77355284090,
      "time": 140,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "6966358720"
    },
    {
      "job": 77355283439,
      "time": 88,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6966340957"
    },
    {
      "job": 77355283212,
      "time": 177,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6966309217"
    },
    {
      "job": 77355283300,
      "time": 113,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7157572172"
    },
    {
      "job": 77355283742,
      "time": 114,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "6966349592"
    },
    {
      "job": 77355283949,
      "time": 106,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "6966347621"
    },
    {
      "job": 77355283633,
      "time": 129,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6966355691"
    }
  ],
  "_buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/tidymodels/dials",
  "_commit": {
    "id": "775432b3e23964deff7125e483b742b354316a78",
    "author": "Hannah Frick <hannah@posit.co>",
    "committer": "Hannah Frick <hannah@posit.co>",
    "message": "Increment version number to 1.4.3.9000\n",
    "time": 1776071194
  },
  "_maintainer": {
    "name": "Hannah Frick",
    "email": "hannah@posit.co",
    "login": "hfrick",
    "mastodon": "@hfrick@mastodon.social",
    "bluesky": "@frick.ws",
    "uuid": 12950918
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1",
      "role": "Depends"
    },
    {
      "package": "scales",
      "version": ">= 1.3.0",
      "role": "Depends"
    },
    {
      "package": "cli",
      "role": "Imports"
    },
    {
      "package": "DiceDesign",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 0.8.5",
      "role": "Imports"
    },
    {
      "package": "glue",
      "role": "Imports"
    },
    {
      "package": "hardhat",
      "version": ">= 1.1.0",
      "role": "Imports"
    },
    {
      "package": "lifecycle",
      "role": "Imports"
    },
    {
      "package": "pillar",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.1.0",
      "role": "Imports"
    },
    {
      "package": "sfd",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "vctrs",
      "version": ">= 0.3.8",
      "role": "Imports"
    },
    {
      "package": "withr",
      "role": "Imports"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "kernlab",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "rpart",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.1.9",
      "role": "Suggests"
    },
    {
      "package": "xml2",
      "role": "Suggests"
    }
  ],
  "_owner": "tidymodels",
  "_selfowned": true,
  "_usedby": 69,
  "_updates": [
    {
      "week": "2025-26",
      "n": 1
    },
    {
      "week": "2025-31",
      "n": 3
    },
    {
      "week": "2025-34",
      "n": 1
    },
    {
      "week": "2025-36",
      "n": 6
    },
    {
      "week": "2025-39",
      "n": 1
    },
    {
      "week": "2025-40",
      "n": 1
    },
    {
      "week": "2025-41",
      "n": 1
    },
    {
      "week": "2025-42",
      "n": 1
    },
    {
      "week": "2025-45",
      "n": 1
    },
    {
      "week": "2025-46",
      "n": 1
    },
    {
      "week": "2025-49",
      "n": 1
    },
    {
      "week": "2026-04",
      "n": 1
    },
    {
      "week": "2026-05",
      "n": 2
    },
    {
      "week": "2026-06",
      "n": 4
    },
    {
      "week": "2026-09",
      "n": 1
    },
    {
      "week": "2026-10",
      "n": 1
    },
    {
      "week": "2026-15",
      "n": 10
    },
    {
      "week": "2026-16",
      "n": 2
    }
  ],
  "_tags": [
    {
      "name": "v1.4.1",
      "date": "2025-07-29"
    },
    {
      "name": "v1.4.2",
      "date": "2025-09-04"
    },
    {
      "name": "v1.4.3",
      "date": "2026-04-13"
    }
  ],
  "_stars": 116,
  "_contributors": [
    {
      "user": "hfrick",
      "count": 504,
      "uuid": 12950918
    },
    {
      "user": "topepo",
      "count": 296,
      "uuid": 5731043
    },
    {
      "user": "emilhvitfeldt",
      "count": 40,
      "uuid": 14034784
    },
    {
      "user": "davisvaughan",
      "count": 36,
      "uuid": 19150088
    },
    {
      "user": "juliasilge",
      "count": 27,
      "uuid": 12505835
    },
    {
      "user": "joeycouse",
      "count": 15,
      "uuid": 54423399
    },
    {
      "user": "simonpcouch",
      "count": 14,
      "uuid": 35748691
    },
    {
      "user": "jeroenjanssens",
      "count": 2,
      "uuid": 1368256
    },
    {
      "user": "corybrunson",
      "count": 2,
      "uuid": 7768027
    },
    {
      "user": "kmdupr33",
      "count": 1,
      "uuid": 5463526
    },
    {
      "user": "vmikk",
      "count": 1,
      "uuid": 7162120
    },
    {
      "user": "michaelchirico",
      "count": 1,
      "uuid": 7606389
    },
    {
      "user": "daltonkw",
      "count": 1,
      "uuid": 44024151
    },
    {
      "user": "karawoo",
      "count": 1,
      "uuid": 4452678
    },
    {
      "user": "gaborcsardi",
      "count": 1,
      "uuid": 660288
    },
    {
      "user": "gabrielodom",
      "count": 1,
      "uuid": 24464126
    },
    {
      "user": "adanvr",
      "count": 1,
      "uuid": 4120403
    }
  ],
  "_userbio": {
    "uuid": 29100987,
    "type": "organization",
    "name": "tidymodels"
  },
  "_downloads": {
    "count": 42001,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dials"
  },
  "_mentions": 7,
  "_devurl": "https://github.com/tidymodels/dials",
  "_pkgdown": "https://dials.tidymodels.org",
  "_searchresults": 630,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/dials.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/tidymodels/dials",
  "_realowner": "tidymodels",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.0.1",
      "date": "2018-08-13"
    },
    {
      "version": "0.0.2",
      "date": "2018-12-09"
    },
    {
      "version": "0.0.3",
      "date": "2019-10-01"
    },
    {
      "version": "0.0.4",
      "date": "2019-12-02"
    },
    {
      "version": "0.0.5",
      "date": "2020-04-01"
    },
    {
      "version": "0.0.6",
      "date": "2020-04-03"
    },
    {
      "version": "0.0.7",
      "date": "2020-06-10"
    },
    {
      "version": "0.0.8",
      "date": "2020-07-08"
    },
    {
      "version": "0.0.9",
      "date": "2020-09-16"
    },
    {
      "version": "0.0.10",
      "date": "2021-09-10"
    },
    {
      "version": "0.1.0",
      "date": "2022-01-31"
    },
    {
      "version": "0.1.1",
      "date": "2022-04-06"
    },
    {
      "version": "1.0.0",
      "date": "2022-06-14"
    },
    {
      "version": "1.1.0",
      "date": "2022-11-04"
    },
    {
      "version": "1.2.0",
      "date": "2023-04-03"
    },
    {
      "version": "1.2.1",
      "date": "2024-02-22"
    },
    {
      "version": "1.3.0",
      "date": "2024-07-30"
    },
    {
      "version": "1.4.0",
      "date": "2025-02-13"
    },
    {
      "version": "1.4.1",
      "date": "2025-08-01"
    },
    {
      "version": "1.4.2",
      "date": "2025-09-04"
    },
    {
      "version": "1.4.3",
      "date": "2026-04-11"
    }
  ],
  "_exports": [
    "activation",
    "activation_2",
    "adjust_deg_free",
    "all_neighbors",
    "average_before_softmax",
    "balance_probabilities",
    "batch_size",
    "buffer",
    "cal_method_class",
    "cal_method_reg",
    "class_weights",
    "conditional_min_criterion",
    "conditional_test_statistic",
    "conditional_test_type",
    "confidence_factor",
    "cost",
    "cost_complexity",
    "deg_free",
    "degree",
    "degree_int",
    "diagonal_covariance",
    "dist_power",
    "dropout",
    "encode_unit",
    "epochs",
    "extract_parameter_dials",
    "extrapolation",
    "finalize",
    "freq_cut",
    "fuzzy_thresholding",
    "get_batch_sizes",
    "get_log_p",
    "get_n",
    "get_n_frac",
    "get_n_frac_range",
    "get_p",
    "get_rbf_range",
    "grid_latin_hypercube",
    "grid_max_entropy",
    "grid_random",
    "grid_regular",
    "grid_space_filling",
    "harmonic_frequency",
    "has_unknowns",
    "hidden_units",
    "hidden_units_2",
    "initial_umap",
    "is_unknown",
    "kernel_offset",
    "Laplace",
    "learn_rate",
    "loss_reduction",
    "lower_limit",
    "lower_quantile",
    "max_nodes",
    "max_num_terms",
    "max_rules",
    "max_times",
    "max_tokens",
    "min_dist",
    "min_n",
    "min_times",
    "min_unique",
    "mixture",
    "momentum",
    "mtry",
    "mtry_long",
    "mtry_prop",
    "neighbors",
    "new_qual_param",
    "new_quant_param",
    "no_global_pruning",
    "num_breaks",
    "num_clusters",
    "num_comp",
    "num_estimators",
    "num_hash",
    "num_knots",
    "num_leaves",
    "num_random_splits",
    "num_runs",
    "num_terms",
    "num_tokens",
    "odds_link",
    "ordinal_link",
    "over_ratio",
    "parameters",
    "parameters_constr",
    "penalty",
    "penalty_L1",
    "penalty_L2",
    "predictor_prop",
    "predictor_winnowing",
    "prior_mixture_threshold",
    "prior_outcome_range",
    "prior_slab_dispersion",
    "prior_terminal_node_coef",
    "prior_terminal_node_expo",
    "prod_degree",
    "prop_terms",
    "prune",
    "prune_method",
    "range_get",
    "range_set",
    "range_validate",
    "ranger_class_rules",
    "ranger_reg_rules",
    "ranger_split_rules",
    "rate_decay",
    "rate_initial",
    "rate_largest",
    "rate_reduction",
    "rate_schedule",
    "rate_step_size",
    "rate_steps",
    "rbf_sigma",
    "regularization_factor",
    "regularization_method",
    "regularize_depth",
    "rule_bands",
    "sample_prop",
    "sample_size",
    "scale_factor",
    "scale_pos_weight",
    "select_features",
    "shrinkage_correlation",
    "shrinkage_frequencies",
    "shrinkage_variance",
    "signed_hash",
    "significance_threshold",
    "smoothness",
    "softmax_temperature",
    "spline_degree",
    "splitting_rule",
    "stop_iter",
    "summary_stat",
    "surv_dist",
    "survival_link",
    "svm_margin",
    "target_weight",
    "threshold",
    "token",
    "training_set_limit",
    "tree_depth",
    "trees",
    "trim_amount",
    "unbiased_rules",
    "under_ratio",
    "unique_cut",
    "unknown",
    "upper_limit",
    "validation_set_prop",
    "value_inverse",
    "value_sample",
    "value_seq",
    "value_set",
    "value_transform",
    "value_validate",
    "values_activation",
    "values_cal_cls",
    "values_cal_reg",
    "values_initial_umap",
    "values_odds_link",
    "values_ordinal_link",
    "values_prune_method",
    "values_regularization_method",
    "values_scheduler",
    "values_summary_stat",
    "values_surv_dist",
    "values_survival_link",
    "values_test_statistic",
    "values_test_type",
    "values_token",
    "values_weight_func",
    "values_weight_scheme",
    "vocabulary_size",
    "weight",
    "weight_func",
    "weight_scheme",
    "window_size"
  ],
  "_help": [
    {
      "page": "activation",
      "title": "Activation functions between network layers",
      "topics": [
        "activation",
        "activation_2",
        "values_activation"
      ]
    },
    {
      "page": "adjust_deg_free",
      "title": "Parameters to adjust effective degrees of freedom",
      "topics": [
        "adjust_deg_free"
      ]
    },
    {
      "page": "all_neighbors",
      "title": "Parameter to determine which neighbors to use",
      "topics": [
        "all_neighbors"
      ]
    },
    {
      "page": "bart-param",
      "title": "Parameters for BART models These parameters are used for constructing Bayesian adaptive regression tree (BART) models.",
      "topics": [
        "bart-param",
        "prior_outcome_range",
        "prior_terminal_node_coef",
        "prior_terminal_node_expo"
      ]
    },
    {
      "page": "buffer",
      "title": "Buffer size",
      "topics": [
        "buffer"
      ]
    },
    {
      "page": "calibration",
      "title": "Methods for model calibration",
      "topics": [
        "cal_method_class",
        "cal_method_reg",
        "values_cal_cls",
        "values_cal_reg"
      ]
    },
    {
      "page": "class_weights",
      "title": "Parameters for class weights for imbalanced problems",
      "topics": [
        "class_weights"
      ]
    },
    {
      "page": "conditional_min_criterion",
      "title": "Parameters for possible engine parameters for partykit models",
      "topics": [
        "conditional_min_criterion",
        "conditional_test_statistic",
        "conditional_test_type",
        "values_test_statistic",
        "values_test_type"
      ]
    },
    {
      "page": "c5_parameters",
      "title": "Parameters for possible engine parameters for C5.0",
      "topics": [
        "confidence_factor",
        "fuzzy_thresholding",
        "no_global_pruning",
        "predictor_winnowing",
        "rule_bands"
      ]
    },
    {
      "page": "cost",
      "title": "Support vector machine parameters",
      "topics": [
        "cost",
        "svm_margin"
      ]
    },
    {
      "page": "deg_free",
      "title": "Degrees of freedom (integer)",
      "topics": [
        "deg_free"
      ]
    },
    {
      "page": "degree",
      "title": "Parameters for exponents",
      "topics": [
        "degree",
        "degree_int",
        "prod_degree",
        "spline_degree"
      ]
    },
    {
      "page": "dist_power",
      "title": "Minkowski distance parameter",
      "topics": [
        "dist_power"
      ]
    },
    {
      "page": "dropout",
      "title": "Neural network parameters",
      "topics": [
        "batch_size",
        "dropout",
        "epochs",
        "hidden_units",
        "hidden_units_2"
      ]
    },
    {
      "page": "cubist_parameters",
      "title": "Parameters for possible engine parameters for Cubist",
      "topics": [
        "extrapolation",
        "max_rules",
        "unbiased_rules"
      ]
    },
    {
      "page": "finalize",
      "title": "Functions to finalize data-specific parameter ranges",
      "topics": [
        "finalize",
        "finalize.default",
        "finalize.list",
        "finalize.logical",
        "finalize.param",
        "finalize.parameters",
        "get_log_p",
        "get_n",
        "get_n_frac",
        "get_n_frac_range",
        "get_p",
        "get_rbf_range"
      ]
    },
    {
      "page": "freq_cut",
      "title": "Near-zero variance parameters",
      "topics": [
        "freq_cut",
        "unique_cut"
      ]
    },
    {
      "page": "grid_regular",
      "title": "Create grids of tuning parameters",
      "topics": [
        "grid_random",
        "grid_random.default",
        "grid_random.list",
        "grid_random.param",
        "grid_random.parameters",
        "grid_regular",
        "grid_regular.default",
        "grid_regular.list",
        "grid_regular.param",
        "grid_regular.parameters"
      ]
    },
    {
      "page": "grid_space_filling",
      "title": "Space-filling parameter grids",
      "topics": [
        "grid_space_filling",
        "grid_space_filling.default",
        "grid_space_filling.list",
        "grid_space_filling.param",
        "grid_space_filling.parameters"
      ]
    },
    {
      "page": "harmonic_frequency",
      "title": "Harmonic Frequency",
      "topics": [
        "harmonic_frequency"
      ]
    },
    {
      "page": "initial_umap",
      "title": "Initialization method for UMAP",
      "topics": [
        "initial_umap",
        "values_initial_umap"
      ]
    },
    {
      "page": "Laplace",
      "title": "Laplace correction parameter",
      "topics": [
        "Laplace"
      ]
    },
    {
      "page": "learn_rate",
      "title": "Learning rate",
      "topics": [
        "learn_rate"
      ]
    },
    {
      "page": "randomForest_parameters",
      "title": "Parameters for possible engine parameters for randomForest",
      "topics": [
        "max_nodes"
      ]
    },
    {
      "page": "earth_parameters",
      "title": "Parameters for possible engine parameters for earth models",
      "topics": [
        "max_num_terms"
      ]
    },
    {
      "page": "max_times",
      "title": "Word frequencies for removal",
      "topics": [
        "max_times",
        "min_times"
      ]
    },
    {
      "page": "max_tokens",
      "title": "Maximum number of retained tokens",
      "topics": [
        "max_tokens"
      ]
    },
    {
      "page": "min_dist",
      "title": "Parameter for the effective minimum distance between embedded points",
      "topics": [
        "min_dist"
      ]
    },
    {
      "page": "min_unique",
      "title": "Number of unique values for pre-processing",
      "topics": [
        "min_unique"
      ]
    },
    {
      "page": "mixture",
      "title": "Mixture of penalization terms",
      "topics": [
        "mixture"
      ]
    },
    {
      "page": "momentum",
      "title": "Gradient descent momentum parameter",
      "topics": [
        "momentum"
      ]
    },
    {
      "page": "mtry",
      "title": "Number of randomly sampled predictors",
      "topics": [
        "mtry",
        "mtry_long"
      ]
    },
    {
      "page": "mtry_prop",
      "title": "Proportion of Randomly Selected Predictors",
      "topics": [
        "mtry_prop"
      ]
    },
    {
      "page": "neighbors",
      "title": "Number of neighbors",
      "topics": [
        "neighbors"
      ]
    },
    {
      "page": "new-param",
      "title": "Tools for creating new parameter objects",
      "topics": [
        "new-param",
        "new_qual_param",
        "new_quant_param"
      ]
    },
    {
      "page": "num_breaks",
      "title": "Number of cut-points for binning",
      "topics": [
        "num_breaks"
      ]
    },
    {
      "page": "num_clusters",
      "title": "Number of Clusters",
      "topics": [
        "num_clusters"
      ]
    },
    {
      "page": "num_comp",
      "title": "Number of new features",
      "topics": [
        "num_comp",
        "num_terms"
      ]
    },
    {
      "page": "texthash",
      "title": "Text hashing parameters",
      "topics": [
        "num_hash",
        "signed_hash"
      ]
    },
    {
      "page": "num_knots",
      "title": "Number of knots (integer)",
      "topics": [
        "num_knots"
      ]
    },
    {
      "page": "lightgbm_parameters",
      "title": "Possible engine parameters for lightbgm",
      "topics": [
        "num_leaves"
      ]
    },
    {
      "page": "num_runs",
      "title": "Number of Computation Runs",
      "topics": [
        "num_runs"
      ]
    },
    {
      "page": "num_tokens",
      "title": "Parameter to determine number of tokens in ngram",
      "topics": [
        "num_tokens"
      ]
    },
    {
      "page": "ordinal_link",
      "title": "Ordinal Regression Link Functions (character)",
      "topics": [
        "odds_link",
        "ordinal_link",
        "values_odds_link",
        "values_ordinal_link"
      ]
    },
    {
      "page": "over_ratio",
      "title": "Parameters for class-imbalance sampling",
      "topics": [
        "over_ratio",
        "under_ratio"
      ]
    },
    {
      "page": "parameters",
      "title": "Create a parameter set",
      "topics": [
        "parameters",
        "parameters.default",
        "parameters.list",
        "parameters.param"
      ]
    },
    {
      "page": "penalty",
      "title": "Amount of regularization/penalization",
      "topics": [
        "penalty"
      ]
    },
    {
      "page": "predictor_prop",
      "title": "Proportion of predictors",
      "topics": [
        "predictor_prop"
      ]
    },
    {
      "page": "prior_slab_dispersion",
      "title": "Bayesian PCA parameters",
      "topics": [
        "prior_mixture_threshold",
        "prior_slab_dispersion"
      ]
    },
    {
      "page": "prop_terms",
      "title": "Proportion of top predictors",
      "topics": [
        "prop_terms"
      ]
    },
    {
      "page": "prune_method",
      "title": "MARS pruning methods",
      "topics": [
        "prune_method",
        "values_prune_method"
      ]
    },
    {
      "page": "range_limits",
      "title": "Limits for the range of predictions",
      "topics": [
        "lower_limit",
        "range_limits",
        "upper_limit"
      ]
    },
    {
      "page": "range_validate",
      "title": "Tools for working with parameter ranges",
      "topics": [
        "range_get",
        "range_set",
        "range_validate"
      ]
    },
    {
      "page": "rbf_sigma",
      "title": "Kernel parameters",
      "topics": [
        "kernel_offset",
        "rbf_sigma",
        "scale_factor"
      ]
    },
    {
      "page": "ranger_parameters",
      "title": "Parameters for possible engine parameters for ranger",
      "topics": [
        "lower_quantile",
        "num_random_splits",
        "ranger_class_rules",
        "ranger_reg_rules",
        "ranger_split_rules",
        "regularization_factor",
        "regularize_depth",
        "significance_threshold",
        "splitting_rule"
      ]
    },
    {
      "page": "regularization_method",
      "title": "Estimation methods for regularized models",
      "topics": [
        "regularization_method",
        "values_regularization_method"
      ]
    },
    {
      "page": "xgboost_parameters",
      "title": "Parameters for possible engine parameters for xgboost",
      "topics": [
        "penalty_L1",
        "penalty_L2",
        "scale_pos_weight"
      ]
    },
    {
      "page": "scheduler-param",
      "title": "Parameters for neural network learning rate schedulers",
      "topics": [
        "rate_decay",
        "rate_initial",
        "rate_largest",
        "rate_reduction",
        "rate_schedule",
        "rate_steps",
        "rate_step_size",
        "scheduler-param",
        "values_scheduler"
      ]
    },
    {
      "page": "select_features",
      "title": "Parameter to enable feature selection",
      "topics": [
        "select_features"
      ]
    },
    {
      "page": "shrinkage_correlation",
      "title": "Parameters for possible engine parameters for sda models",
      "topics": [
        "diagonal_covariance",
        "shrinkage_correlation",
        "shrinkage_frequencies",
        "shrinkage_variance"
      ]
    },
    {
      "page": "smoothness",
      "title": "Kernel Smoothness",
      "topics": [
        "smoothness"
      ]
    },
    {
      "page": "stop_iter",
      "title": "Early stopping parameter",
      "topics": [
        "stop_iter"
      ]
    },
    {
      "page": "summary_stat",
      "title": "Rolling summary statistic for moving windows",
      "topics": [
        "summary_stat",
        "values_summary_stat"
      ]
    },
    {
      "page": "surv_dist",
      "title": "Parametric distributions for censored data",
      "topics": [
        "surv_dist",
        "values_surv_dist"
      ]
    },
    {
      "page": "survival_link",
      "title": "Survival Model Link Function",
      "topics": [
        "survival_link",
        "values_survival_link"
      ]
    },
    {
      "page": "tab-pfn-param",
      "title": "Parameters for TabPFN models",
      "topics": [
        "average_before_softmax",
        "balance_probabilities",
        "num_estimators",
        "softmax_temperature",
        "tab-pfn-param",
        "training_set_limit"
      ]
    },
    {
      "page": "target_weight",
      "title": "Amount of supervision parameter",
      "topics": [
        "target_weight"
      ]
    },
    {
      "page": "threshold",
      "title": "General thresholding parameter",
      "topics": [
        "threshold"
      ]
    },
    {
      "page": "token",
      "title": "Token types",
      "topics": [
        "token",
        "values_token"
      ]
    },
    {
      "page": "trees",
      "title": "Parameter functions related to tree- and rule-based models.",
      "topics": [
        "cost_complexity",
        "loss_reduction",
        "min_n",
        "prune",
        "sample_prop",
        "sample_size",
        "trees",
        "tree_depth"
      ]
    },
    {
      "page": "trim_amount",
      "title": "Amount of Trimming",
      "topics": [
        "trim_amount"
      ]
    },
    {
      "page": "unknown",
      "title": "Placeholder for unknown parameter values",
      "topics": [
        "has_unknowns",
        "is_unknown",
        "unknown"
      ]
    },
    {
      "page": "update.parameters",
      "title": "Update a single parameter in a parameter set",
      "topics": [
        "update.parameters"
      ]
    },
    {
      "page": "validation_set_prop",
      "title": "Proportion of data used for validation",
      "topics": [
        "validation_set_prop"
      ]
    },
    {
      "page": "value_validate",
      "title": "Tools for working with parameter values",
      "topics": [
        "value_inverse",
        "value_sample",
        "value_seq",
        "value_set",
        "value_transform",
        "value_validate"
      ]
    },
    {
      "page": "vocabulary_size",
      "title": "Number of tokens in vocabulary",
      "topics": [
        "vocabulary_size"
      ]
    },
    {
      "page": "weight",
      "title": "Parameter for '\"double normalization\"' when creating token counts",
      "topics": [
        "weight"
      ]
    },
    {
      "page": "weight_func",
      "title": "Kernel functions for distance weighting",
      "topics": [
        "values_weight_func",
        "weight_func"
      ]
    },
    {
      "page": "weight_scheme",
      "title": "Term frequency weighting methods",
      "topics": [
        "values_weight_scheme",
        "weight_scheme"
      ]
    },
    {
      "page": "window_size",
      "title": "Parameter for the moving window size",
      "topics": [
        "window_size"
      ]
    }
  ],
  "_pkglogo": "https://github.com/tidymodels/dials/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/tidymodels/dials/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "DiceDesign",
    "dplyr",
    "farver",
    "generics",
    "glue",
    "hardhat",
    "labeling",
    "lifecycle",
    "magrittr",
    "pillar",
    "pkgconfig",
    "purrr",
    "R6",
    "RColorBrewer",
    "rlang",
    "scales",
    "sfd",
    "sparsevctrs",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "dials.Rmd",
      "filename": "dials.html",
      "title": "Working with Tuning Parameters",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Tuning Parameters",
        "Parameter Objects",
        "Numeric Parameters",
        "Discrete Parameters",
        "Creating Novel Parameters",
        "Unknown Values",
        "Parameter Sets",
        "Parameter Grids"
      ],
      "created": "2021-11-09 12:19:53",
      "modified": "2026-04-13 09:05:00",
      "commits": 5
    }
  ],
  "_score": 14.806489046866536,
  "_indexed": true,
  "_nocasepkg": "dials",
  "_universes": [
    "tidymodels",
    "hfrick"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.4.3.9000",
      "date": "2026-05-13T09:26:30.000Z",
      "distro": "noble",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "a62022ce5e1431e8966ca88ed3e50ff73b3616b741d1ec6c5eebf8eb48214e74",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.4.3.9000",
      "date": "2026-05-13T09:26:37.000Z",
      "distro": "noble",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "c8d1b61fa795f0fac11f560e7bd728b4ba8c48a52ff61b46fda0d6a8ff5335a3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.4.3.9000",
      "date": "2026-05-13T09:25:54.000Z",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "084d98274da8ff2832273d87a7d8973187ca0f4fc40ca678b1b5ffdd8a88d187",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.4.3.9000",
      "date": "2026-05-13T09:25:15.000Z",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "16c9b29a1211780327df4fedfd08235245efb5e056faca3b2b503cda5a96a617",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.4.3.9000",
      "date": "2026-05-13T09:25:09.000Z",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "ed6ff72b3871dcc488065cd7321a9f470a93b5828c2e894730840119069b390d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.4.3.9000",
      "date": "2026-05-13T09:25:06.000Z",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "76e402ffdfd4cd1d550244f677231581d8cca637eb712eae173ba8d863c9e349",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.4.3.9000",
      "date": "2026-05-13T09:25:22.000Z",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "59e20b5258cb4ab93322f35afb6bad20aa8f04f24649b6cecc50fe435aecf8b0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.4.3.9000",
      "date": "2026-05-22T09:45:02.000Z",
      "commit": "775432b3e23964deff7125e483b742b354316a78",
      "fileid": "8965eb4882df7692269907b3d342c68a70f9a0c16ba8fab1a7ecc39659d628fb",
      "status": "success",
      "buildurl": "https://github.com/r-universe/tidymodels/actions/runs/25790143864"
    }
  ]
}