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  "Title": "Schema-Driven Machine Learning and Visualization",
  "Date": "2026-10-16",
  "Authors@R": "person(given = \"E.D.\", family = \"Gennatas\", role = c(\"aut\", \"cre\", \"cph\"), \nemail = \"gennatas@gmail.com\", comment = c(ORCID = \"0000-0001-9280-3609\"))",
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    "to_json",
    "to_markdown",
    "train",
    "tune_over",
    "tuning_grid",
    "validate_config",
    "varimp_table",
    "write_config",
    "write_JSONSchema",
    "write_record",
    "write_result",
    "write_text",
    "writeup"
  ],
  "_help": [
    {
      "page": "rtemis-package",
      "title": "'rtemis': Advanced Machine Learning and Visualization",
      "topics": [
        "rtemis-package",
        "rtemis"
      ]
    },
    {
      "page": "grapes-BC-grapes",
      "title": "Binary matrix times character vector",
      "topics": [
        "%BC%"
      ]
    },
    {
      "page": "ai_review",
      "title": "Write an assessment of a model review with a language model",
      "topics": [
        "ai_review"
      ]
    },
    {
      "page": "applicable_metrics",
      "title": "Which Decomposition Metrics Apply to Which Algorithm",
      "topics": [
        "applicable_metrics"
      ]
    },
    {
      "page": "apply_decomp",
      "title": "Apply Decomposition to New Data",
      "topics": [
        "apply_decomp"
      ]
    },
    {
      "page": "apply_preprocessor",
      "title": "Apply trained Preprocessor to new data",
      "topics": [
        "apply_preprocessor"
      ]
    },
    {
      "page": "available_algorithms",
      "title": "Available Algorithms",
      "topics": [
        "available_algorithms",
        "available_calibration",
        "available_clustering",
        "available_decomposition",
        "available_supervised"
      ]
    },
    {
      "page": "bias_variance",
      "title": "Estimate Bias and Variance",
      "topics": [
        "bias_variance"
      ]
    },
    {
      "page": "calibrate",
      "title": "Calibrate 'Classification' & 'ClassificationRes' Models",
      "topics": [
        "calibrate"
      ]
    },
    {
      "page": "check_data",
      "title": "Check Data",
      "topics": [
        "check_data"
      ]
    },
    {
      "page": "class_imbalance",
      "title": "Class Imbalance",
      "topics": [
        "class_imbalance"
      ]
    },
    {
      "page": "classification_metrics",
      "title": "Classification Metrics",
      "topics": [
        "classification_metrics"
      ]
    },
    {
      "page": "cluster",
      "title": "Perform Clustering",
      "topics": [
        "cluster"
      ]
    },
    {
      "page": "conformal",
      "title": "Conformal prediction regions",
      "topics": [
        "conformal"
      ]
    },
    {
      "page": "conformal_metrics",
      "title": "Score a Conformal Prediction Region",
      "topics": [
        "conformal_metrics"
      ]
    },
    {
      "page": "data_fingerprint",
      "title": "Fingerprint a dataset",
      "topics": [
        "data_fingerprint"
      ]
    },
    {
      "page": "data_profile",
      "title": "Profile a dataset",
      "topics": [
        "data_profile"
      ]
    },
    {
      "page": "ddb_collect",
      "title": "Collect a lazy-read duckdb table",
      "topics": [
        "ddb_collect"
      ]
    },
    {
      "page": "ddb_data",
      "title": "Read CSV using DuckDB",
      "topics": [
        "ddb_data"
      ]
    },
    {
      "page": "decomp",
      "title": "Perform Data Decomposition",
      "topics": [
        "decomp"
      ]
    },
    {
      "page": "decomp_metrics",
      "title": "Decomposition Metrics",
      "topics": [
        "decomp_metrics"
      ]
    },
    {
      "page": "decomposition_traits",
      "title": "Decomposition Algorithm Traits",
      "topics": [
        "decomposition_traits"
      ]
    },
    {
      "page": "describe",
      "title": "Describe object",
      "topics": [
        "describe"
      ]
    },
    {
      "page": "df_movecolumn",
      "title": "Move data frame column",
      "topics": [
        "df_movecolumn"
      ]
    },
    {
      "page": "df_nunique_perfeat",
      "title": "Unique values per feature",
      "topics": [
        "df_nunique_perfeat"
      ]
    },
    {
      "page": "draw_linad",
      "title": "Plot a Linear Additive Tree",
      "topics": [
        "draw_linad"
      ]
    },
    {
      "page": "dt_describe",
      "title": "Describe data.table",
      "topics": [
        "dt_describe"
      ]
    },
    {
      "page": "dt_inspect_types",
      "title": "Inspect column types",
      "topics": [
        "dt_inspect_types"
      ]
    },
    {
      "page": "dt_keybin_reshape",
      "title": "Long to wide key-value reshaping",
      "topics": [
        "dt_keybin_reshape"
      ]
    },
    {
      "page": "dt_merge",
      "title": "Merge data.tables",
      "topics": [
        "dt_merge"
      ]
    },
    {
      "page": "dt_names_by_attr",
      "title": "List column names by attribute",
      "topics": [
        "dt_names_by_attr"
      ]
    },
    {
      "page": "dt_nunique_perfeat",
      "title": "Number of unique values per feature",
      "topics": [
        "dt_nunique_perfeat"
      ]
    },
    {
      "page": "dt_pctmatch",
      "title": "Get N and percent match of values between two columns of two data.tables",
      "topics": [
        "dt_pctmatch"
      ]
    },
    {
      "page": "dt_pctmissing",
      "title": "Get percent of missing values from every column",
      "topics": [
        "dt_pctmissing"
      ]
    },
    {
      "page": "dt_set_autotypes",
      "title": "Set column types automatically",
      "topics": [
        "dt_set_autotypes"
      ]
    },
    {
      "page": "dt_set_clean_all",
      "title": "Clean column names and factor levels _*in-place*_",
      "topics": [
        "dt_set_clean_all"
      ]
    },
    {
      "page": "dt_set_cleanfactorlevels",
      "title": "Clean factor levels of data.table _*in-place*_",
      "topics": [
        "dt_set_cleanfactorlevels"
      ]
    },
    {
      "page": "dt_set_logical2factor",
      "title": "Convert data.table logical columns to factors",
      "topics": [
        "dt_set_logical2factor"
      ]
    },
    {
      "page": "dt_set_one_hot",
      "title": "Convert data.table's factor to one-hot encoding _*in-place*_",
      "topics": [
        "dt_set_one_hot"
      ]
    },
    {
      "page": "exc",
      "title": "Exclude columns by character or numeric vector.",
      "topics": [
        "exc"
      ]
    },
    {
      "page": "explain",
      "title": "Explain a prediction",
      "topics": [
        "explain"
      ]
    },
    {
      "page": "explanation_methods",
      "title": "Explanation Methods per Algorithm",
      "topics": [
        "explanation_methods"
      ]
    },
    {
      "page": "feature_matrix",
      "title": "Convert tabular data to feature matrix",
      "topics": [
        "feature_matrix"
      ]
    },
    {
      "page": "feature_names",
      "title": "Get feature names",
      "topics": [
        "feature_names"
      ]
    },
    {
      "page": "features",
      "title": "Get features from tabular data",
      "topics": [
        "features"
      ]
    },
    {
      "page": "fit_predict",
      "title": "Fit a Learner and Predict New Data",
      "topics": [
        "fit_predict"
      ]
    },
    {
      "page": "fitted_config",
      "title": "A 'Preprocessor''s config with its learned values filled in",
      "topics": [
        "fitted_config"
      ]
    },
    {
      "page": "get_factor_names",
      "title": "Get factor names",
      "topics": [
        "get_factor_names"
      ]
    },
    {
      "page": "get_learning_curve",
      "title": "Learning curve of a fitted model",
      "topics": [
        "get_learning_curve"
      ]
    },
    {
      "page": "get_metrics",
      "title": "Get metrics",
      "topics": [
        "get_metrics"
      ]
    },
    {
      "page": "get_mode",
      "title": "Get the mode of a factor or integer",
      "topics": [
        "get_mode"
      ]
    },
    {
      "page": "get_varimp",
      "title": "Get variable importance",
      "topics": [
        "get_varimp"
      ]
    },
    {
      "page": "getnames",
      "title": "Get names by string matching or class",
      "topics": [
        "getcharacternames",
        "getdatenames",
        "getfactornames",
        "getlogicalnames",
        "getnames",
        "getnumericnames"
      ]
    },
    {
      "page": "getnamesandtypes",
      "title": "Get data.frame names and types",
      "topics": [
        "getnamesandtypes"
      ]
    },
    {
      "page": "HyperparameterCandidates",
      "title": "The values a tuner may choose among for one hyperparameter",
      "topics": [
        "HyperparameterCandidates"
      ]
    },
    {
      "page": "inc",
      "title": "Select (include) columns by character or numeric vector.",
      "topics": [
        "inc"
      ]
    },
    {
      "page": "index_col_by_attr",
      "title": "Index columns by attribute name & value",
      "topics": [
        "index_col_by_attr"
      ]
    },
    {
      "page": "ingest",
      "title": "Read a data file and normalize it to Parquet",
      "topics": [
        "ingest"
      ]
    },
    {
      "page": "init_project_dir",
      "title": "Initialize Project Directory",
      "topics": [
        "init_project_dir"
      ]
    },
    {
      "page": "inspect",
      "title": "Inspect rtemis object",
      "topics": [
        "inspect"
      ]
    },
    {
      "page": "inspect_type",
      "title": "Inspect character and factor vector",
      "topics": [
        "inspect_type"
      ]
    },
    {
      "page": "is_constant",
      "title": "Check if vector is constant",
      "topics": [
        "is_constant"
      ]
    },
    {
      "page": "JSONSchema_to_S7",
      "title": "Build an S7 class from a JSON Schema",
      "topics": [
        "JSONSchema_to_S7"
      ]
    },
    {
      "page": "massGLM",
      "title": "Mass-univariate GLM Analysis",
      "topics": [
        "massGLM"
      ]
    },
    {
      "page": "matchcases",
      "title": "Match cases by covariates",
      "topics": [
        "matchcases"
      ]
    },
    {
      "page": "mgetnames",
      "title": "Get names by string matching multiple patterns",
      "topics": [
        "mgetnames"
      ]
    },
    {
      "page": "names_by_class",
      "title": "List column names by class",
      "topics": [
        "names_by_class"
      ]
    },
    {
      "page": "numeric_features",
      "title": "Get numeric features from tabular data",
      "topics": [
        "numeric_features"
      ]
    },
    {
      "page": "one_hot2factor",
      "title": "Convert one-hot encoded matrix to factor",
      "topics": [
        "one_hot2factor"
      ]
    },
    {
      "page": "outcome",
      "title": "Get the outcome as a vector",
      "topics": [
        "outcome"
      ]
    },
    {
      "page": "outcome_name",
      "title": "Get the name of the last column",
      "topics": [
        "outcome_name"
      ]
    },
    {
      "page": "partition",
      "title": "Split a dataset into training and held-out test partitions",
      "topics": [
        "partition"
      ]
    },
    {
      "page": "plot_learning",
      "title": "Plot a Model's Learning Curve",
      "topics": [
        "plot_learning"
      ]
    },
    {
      "page": "plot_manhattan",
      "title": "Plot a MassGLM Result",
      "topics": [
        "plot.MassGLM",
        "plot_manhattan",
        "plot_manhattan.MassGLM"
      ]
    },
    {
      "page": "plot_metric",
      "title": "Plot Stored Metrics Across Model Resamples",
      "topics": [
        "plot_metric"
      ]
    },
    {
      "page": "plot_roc",
      "title": "Plot Classification ROC Curves",
      "topics": [
        "plot_roc"
      ]
    },
    {
      "page": "plot_session",
      "title": "Plot a Supervised object's session timeline",
      "topics": [
        "plot_session"
      ]
    },
    {
      "page": "plot_true_pred",
      "title": "Plot a Model's True Versus Predicted Values",
      "topics": [
        "plot_true_pred"
      ]
    },
    {
      "page": "plot_varimp",
      "title": "Plot a Model's Variable Importance",
      "topics": [
        "plot_varimp"
      ]
    },
    {
      "page": "preprocess",
      "title": "Preprocess Data",
      "topics": [
        "preprocess"
      ]
    },
    {
      "page": "preprocessed",
      "title": "Get preprocessed data from 'Preprocessor'.",
      "topics": [
        "preprocessed"
      ]
    },
    {
      "page": "present",
      "title": "Describe and Plot Fitted Models",
      "topics": [
        "present"
      ]
    },
    {
      "page": "read",
      "title": "Read tabular data from a variety of formats",
      "topics": [
        "read"
      ]
    },
    {
      "page": "read_config",
      "title": "Read an rtemis config from file",
      "topics": [
        "read_config"
      ]
    },
    {
      "page": "read_result",
      "title": "Read a portable result from a local schema registry",
      "topics": [
        "read_result"
      ]
    },
    {
      "page": "reconstruct",
      "title": "Reconstruct Data from a Decomposition",
      "topics": [
        "reconstruct"
      ]
    },
    {
      "page": "record",
      "title": "Derive a run record from a fitted model",
      "topics": [
        "record"
      ]
    },
    {
      "page": "regression_metrics",
      "title": "Regression Metrics",
      "topics": [
        "regression_metrics"
      ]
    },
    {
      "page": "resample",
      "title": "Resample data",
      "topics": [
        "resample"
      ]
    },
    {
      "page": "review",
      "title": "Review a trained supervised model",
      "topics": [
        "review"
      ]
    },
    {
      "page": "rnormmat",
      "title": "Random Normal Matrix",
      "topics": [
        "rnormmat"
      ]
    },
    {
      "page": "roc_curve",
      "title": "ROC curve coordinates",
      "topics": [
        "roc_curve"
      ]
    },
    {
      "page": "rtemis_conditions",
      "title": "rtemis error conditions",
      "topics": [
        "rtemis_conditions",
        "rtemis_data_error",
        "rtemis_dim_error",
        "rtemis_error",
        "rtemis_file_exists",
        "rtemis_file_not_found",
        "rtemis_input_error",
        "rtemis_io_error",
        "rtemis_length_error",
        "rtemis_level_mismatch",
        "rtemis_missing_data",
        "rtemis_null_input",
        "rtemis_outcome_error",
        "rtemis_range_error",
        "rtemis_runtime_error",
        "rtemis_type_error",
        "rtemis_unsupported_error",
        "rtemis_value_error"
      ]
    },
    {
      "page": "rtversion",
      "title": "Get rtemis version and system info",
      "topics": [
        "rtversion"
      ]
    },
    {
      "page": "runifmat",
      "title": "Random Uniform Matrix",
      "topics": [
        "runifmat"
      ]
    },
    {
      "page": "S7_dispatcher_JSONSchema",
      "title": "Generate a config family's dispatcher JSON Schema",
      "topics": [
        "S7_dispatcher_JSONSchema"
      ]
    },
    {
      "page": "S7_to_JSONSchema",
      "title": "Convert an S7 class built with prop_* factories to a JSON Schema",
      "topics": [
        "S7_to_JSONSchema"
      ]
    },
    {
      "page": "same_data",
      "title": "Do two fingerprints identify the same dataset?",
      "topics": [
        "same_data"
      ]
    },
    {
      "page": "se",
      "title": "Standard error of the fit",
      "topics": [
        "se"
      ]
    },
    {
      "page": "session_timeline",
      "title": "Session Execution Timeline Table",
      "topics": [
        "session_timeline"
      ]
    },
    {
      "page": "set_outcome",
      "title": "Move outcome to last column",
      "topics": [
        "set_outcome"
      ]
    },
    {
      "page": "set_positive_class",
      "title": "Set positive class",
      "topics": [
        "set_positive_class"
      ]
    },
    {
      "page": "setdiffsym",
      "title": "Symmetric Set Difference",
      "topics": [
        "setdiffsym"
      ]
    },
    {
      "page": "setup_ARFFIngest",
      "title": "Set up an 'ARFFIngestConfig'",
      "topics": [
        "setup_ARFFIngest"
      ]
    },
    {
      "page": "setup_ASWCriterion",
      "title": "Setup ASWCriterionConfig",
      "topics": [
        "setup_ASWCriterion"
      ]
    },
    {
      "page": "setup_Autoencoder",
      "title": "Setup Autoencoder config.",
      "topics": [
        "setup_Autoencoder"
      ]
    },
    {
      "page": "setup_BART",
      "title": "Setup BART Hyperparameters",
      "topics": [
        "setup_BART"
      ]
    },
    {
      "page": "setup_Bootstrap",
      "title": "Setup Bootstrap Resampler",
      "topics": [
        "setup_Bootstrap"
      ]
    },
    {
      "page": "setup_CART",
      "title": "Setup CART Hyperparameters",
      "topics": [
        "setup_CART"
      ]
    },
    {
      "page": "setup_CHCriterion",
      "title": "Setup CHCriterionConfig",
      "topics": [
        "setup_CHCriterion"
      ]
    },
    {
      "page": "setup_ClusterConfig",
      "title": "Setup ClusterConfig",
      "topics": [
        "setup_ClusterConfig"
      ]
    },
    {
      "page": "setup_CMeans",
      "title": "Setup CMeansConfig",
      "topics": [
        "setup_CMeans"
      ]
    },
    {
      "page": "setup_ConditionalSuperLearner",
      "title": "Setup ConditionalSuperLearner Hyperparameters",
      "topics": [
        "setup_ConditionalSuperLearner"
      ]
    },
    {
      "page": "setup_CQR",
      "title": "Setup Conformalized Quantile Regression",
      "topics": [
        "setup_CQR"
      ]
    },
    {
      "page": "setup_CUDA",
      "title": "Setup an NVIDIA GPU as the compute device",
      "topics": [
        "setup_CUDA"
      ]
    },
    {
      "page": "setup_Custom",
      "title": "Setup Custom Resampler",
      "topics": [
        "setup_Custom"
      ]
    },
    {
      "page": "setup_CVPlus",
      "title": "Setup CV+ Conformal Prediction",
      "topics": [
        "setup_CVPlus"
      ]
    },
    {
      "page": "setup_DBSCAN",
      "title": "Setup DBSCANConfig",
      "topics": [
        "setup_DBSCAN"
      ]
    },
    {
      "page": "setup_DecomposeConfig",
      "title": "Setup DecomposeConfig",
      "topics": [
        "setup_DecomposeConfig"
      ]
    },
    {
      "page": "setup_DelimitedIngest",
      "title": "Set up a 'DelimitedIngestConfig'",
      "topics": [
        "setup_DelimitedIngest"
      ]
    },
    {
      "page": "setup_DTAIngest",
      "title": "Set up a 'DTAIngestConfig'",
      "topics": [
        "setup_DTAIngest"
      ]
    },
    {
      "page": "setup_FutureExecution",
      "title": "Set up a 'FutureExecutionConfig'",
      "topics": [
        "setup_FutureExecution"
      ]
    },
    {
      "page": "setup_GAM",
      "title": "Setup GAM Hyperparameters",
      "topics": [
        "setup_GAM"
      ]
    },
    {
      "page": "setup_GLM",
      "title": "Setup GLM Hyperparameters",
      "topics": [
        "setup_GLM"
      ]
    },
    {
      "page": "setup_GLMNET",
      "title": "Setup GLMNET Hyperparameters",
      "topics": [
        "setup_GLMNET"
      ]
    },
    {
      "page": "setup_GLMTree",
      "title": "Setup GLMTree Hyperparameters",
      "topics": [
        "setup_GLMTree"
      ]
    },
    {
      "page": "setup_GMM",
      "title": "Setup GMMConfig",
      "topics": [
        "setup_GMM"
      ]
    },
    {
      "page": "setup_GridSearch",
      "title": "Setup Grid Search Config",
      "topics": [
        "setup_GridSearch"
      ]
    },
    {
      "page": "setup_GroupPartition",
      "title": "Set up a 'GroupPartitionConfig'",
      "topics": [
        "setup_GroupPartition"
      ]
    },
    {
      "page": "setup_HAL",
      "title": "Setup HAL Hyperparameters",
      "topics": [
        "setup_HAL"
      ]
    },
    {
      "page": "setup_HardCL",
      "title": "Setup HardCLConfig",
      "topics": [
        "setup_HardCL"
      ]
    },
    {
      "page": "setup_HOPACH",
      "title": "Setup HOPACHConfig",
      "topics": [
        "setup_HOPACH"
      ]
    },
    {
      "page": "setup_ICA",
      "title": "setup_ICA",
      "topics": [
        "setup_ICA"
      ]
    },
    {
      "page": "setup_Isomap",
      "title": "Setup Isomap config.",
      "topics": [
        "setup_Isomap"
      ]
    },
    {
      "page": "setup_Isotonic",
      "title": "Setup Isotonic Hyperparameters",
      "topics": [
        "setup_Isotonic"
      ]
    },
    {
      "page": "setup_KFold",
      "title": "Setup KFold Resampler",
      "topics": [
        "setup_KFold"
      ]
    },
    {
      "page": "setup_KMeans",
      "title": "Setup KMeansConfig",
      "topics": [
        "setup_KMeans"
      ]
    },
    {
      "page": "setup_KNN",
      "title": "Setup KNN Hyperparameters",
      "topics": [
        "setup_KNN"
      ]
    },
    {
      "page": "setup_LightCART",
      "title": "Setup LightCART Hyperparameters",
      "topics": [
        "setup_LightCART"
      ]
    },
    {
      "page": "setup_LightGBM",
      "title": "Setup LightGBM Hyperparameters",
      "topics": [
        "setup_LightGBM"
      ]
    },
    {
      "page": "setup_LightRF",
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