%BC%                    Binary matrix times character vector
HyperparameterCandidates
                        The values a tuner may choose among for one
                        hyperparameter
JSONSchema_to_S7        Build an S7 class from a JSON Schema
S7_dispatcher_JSONSchema
                        Generate a config family's dispatcher JSON
                        Schema
S7_to_JSONSchema        Convert an S7 class built with prop_* factories
                        to a JSON Schema
ai_review               Write an assessment of a model review with a
                        language model
applicable_metrics      Which Decomposition Metrics Apply to Which
                        Algorithm
apply_decomp            Apply Decomposition to New Data
apply_preprocessor      Apply trained Preprocessor to new data
available_supervised    Available Algorithms
bias_variance           Estimate Bias and Variance
calibrate               Calibrate 'Classification' &
                        'ClassificationRes' Models
check_data              Check Data
class_imbalance         Class Imbalance
classification_metrics
                        Classification Metrics
cluster                 Perform Clustering
conformal               Conformal prediction regions
conformal_metrics       Score a Conformal Prediction Region
data_fingerprint        Fingerprint a dataset
data_profile            Profile a dataset
ddb_collect             Collect a lazy-read duckdb table
ddb_data                Read CSV using DuckDB
decomp                  Perform Data Decomposition
decomp_metrics          Decomposition Metrics
decomposition_traits    Decomposition Algorithm Traits
describe                Describe object
df_movecolumn           Move data frame column
df_nunique_perfeat      Unique values per feature
draw_linad              Plot a Linear Additive Tree
dt_describe             Describe data.table
dt_inspect_types        Inspect column types
dt_keybin_reshape       Long to wide key-value reshaping
dt_merge                Merge data.tables
dt_names_by_attr        List column names by attribute
dt_nunique_perfeat      Number of unique values per feature
dt_pctmatch             Get N and percent match of values between two
                        columns of two data.tables
dt_pctmissing           Get percent of missing values from every column
dt_set_autotypes        Set column types automatically
dt_set_clean_all        Clean column names and factor levels
                        _*in-place*_
dt_set_cleanfactorlevels
                        Clean factor levels of data.table _*in-place*_
dt_set_logical2factor   Convert data.table logical columns to factors
dt_set_one_hot          Convert data.table's factor to one-hot encoding
                        _*in-place*_
exc                     Exclude columns by character or numeric vector.
explain                 Explain a prediction
explanation_methods     Explanation Methods per Algorithm
feature_matrix          Convert tabular data to feature matrix
feature_names           Get feature names
features                Get features from tabular data
fit_predict             Fit a Learner and Predict New Data
fitted_config           A 'Preprocessor"s config with its learned
                        values filled in
get_factor_names        Get factor names
get_learning_curve      Learning curve of a fitted model
get_metrics             Get metrics
get_mode                Get the mode of a factor or integer
get_varimp              Get variable importance
getnames                Get names by string matching or class
getnamesandtypes        Get data.frame names and types
inc                     Select (include) columns by character or
                        numeric vector.
index_col_by_attr       Index columns by attribute name & value
ingest                  Read a data file and normalize it to Parquet
init_project_dir        Initialize Project Directory
inspect                 Inspect rtemis object
inspect_type            Inspect character and factor vector
is_constant             Check if vector is constant
massGLM                 Mass-univariate GLM Analysis
matchcases              Match cases by covariates
mgetnames               Get names by string matching multiple patterns
names_by_class          List column names by class
numeric_features        Get numeric features from tabular data
one_hot2factor          Convert one-hot encoded matrix to factor
outcome                 Get the outcome as a vector
outcome_name            Get the name of the last column
partition               Split a dataset into training and held-out test
                        partitions
plot_learning           Plot a Model's Learning Curve
plot_manhattan          Plot a MassGLM Result
plot_metric             Plot Stored Metrics Across Model Resamples
plot_roc                Plot Classification ROC Curves
plot_session            Plot a Supervised object's session timeline
plot_true_pred          Plot a Model's True Versus Predicted Values
plot_varimp             Plot a Model's Variable Importance
preprocess              Preprocess Data
preprocessed            Get preprocessed data from 'Preprocessor'.
present                 Describe and Plot Fitted Models
read                    Read tabular data from a variety of formats
read_config             Read an rtemis config from file
read_result             Read a portable result from a local schema
                        registry
reconstruct             Reconstruct Data from a Decomposition
record                  Derive a run record from a fitted model
regression_metrics      Regression Metrics
resample                Resample data
review                  Review a trained supervised model
rnormmat                Random Normal Matrix
roc_curve               ROC curve coordinates
rtemis-package          'rtemis': Advanced Machine Learning and
                        Visualization
rtemis_conditions       rtemis error conditions
rtversion               Get rtemis version and system info
runifmat                Random Uniform Matrix
same_data               Do two fingerprints identify the same dataset?
se                      Standard error of the fit
session_timeline        Session Execution Timeline Table
set_outcome             Move outcome to last column
set_positive_class      Set positive class
setdiffsym              Symmetric Set Difference
setup_ARFFIngest        Set up an 'ARFFIngestConfig'
setup_ASWCriterion      Setup ASWCriterionConfig
setup_Autoencoder       Setup Autoencoder config.
setup_BART              Setup BART Hyperparameters
setup_Bootstrap         Setup Bootstrap Resampler
setup_CART              Setup CART Hyperparameters
setup_CHCriterion       Setup CHCriterionConfig
setup_CMeans            Setup CMeansConfig
setup_CQR               Setup Conformalized Quantile Regression
setup_CUDA              Setup an NVIDIA GPU as the compute device
setup_CVPlus            Setup CV+ Conformal Prediction
setup_ClusterConfig     Setup ClusterConfig
setup_ConditionalSuperLearner
                        Setup ConditionalSuperLearner Hyperparameters
setup_Custom            Setup Custom Resampler
setup_DBSCAN            Setup DBSCANConfig
setup_DTAIngest         Set up a 'DTAIngestConfig'
setup_DecomposeConfig   Setup DecomposeConfig
setup_DelimitedIngest   Set up a 'DelimitedIngestConfig'
setup_FutureExecution   Set up a 'FutureExecutionConfig'
setup_GAM               Setup GAM Hyperparameters
setup_GLM               Setup GLM Hyperparameters
setup_GLMNET            Setup GLMNET Hyperparameters
setup_GLMTree           Setup GLMTree Hyperparameters
setup_GMM               Setup GMMConfig
setup_GridSearch        Setup Grid Search Config
setup_GroupPartition    Set up a 'GroupPartitionConfig'
setup_HAL               Setup HAL Hyperparameters
setup_HOPACH            Setup HOPACHConfig
setup_HardCL            Setup HardCLConfig
setup_ICA               setup_ICA
setup_Isomap            Setup Isomap config.
setup_Isotonic          Setup Isotonic Hyperparameters
setup_KFold             Setup KFold Resampler
setup_KMeans            Setup KMeansConfig
setup_KNN               Setup KNN Hyperparameters
setup_LINAD             Setup LINAD Hyperparameters
setup_LINADForest       Setup LINADForest Hyperparameters
setup_LOOCV             Setup LOOCV Resampler
setup_LightCART         Setup LightCART Hyperparameters
setup_LightGBM          Setup LightGBM Hyperparameters
setup_LightRF           Setup LightRF Hyperparameters
setup_LightRuleFit      Setup LightRuleFit Hyperparameters
setup_LinearSVM         Setup LinearSVM Hyperparameters
setup_MARS              Setup MARS Hyperparameters
setup_MDS               Setup MDS config.
setup_MLP               Setup MLP Hyperparameters
setup_MiraiExecution    Set up a 'MiraiExecutionConfig'
setup_ModalityStacking
                        Setup ModalityStacking Hyperparameters
setup_MonotonicHAL      Setup MonotonicHAL Hyperparameters
setup_MultiASWCriterion
                        Setup MultiASWCriterionConfig
setup_NMF               Setup NMF config.
setup_NNLS              Setup NNLS Hyperparameters
setup_NeuralGas         Setup NeuralGasConfig
setup_Nystrom           Setup NystromConfig
setup_PAM               Setup PAMConfig
setup_PAMK              Setup PAMKConfig
setup_PCA               Setup PCA config.
setup_PCoA              Setup PCoA config.
setup_ParquetIngest     Set up a 'ParquetIngestConfig'
setup_PredefinedPartition
                        Set up a 'PredefinedPartitionConfig'
setup_Preprocessor      Setup Preprocessor
setup_RDSIngest         Set up an 'RDSIngestConfig'
setup_RadialSVM         Setup RadialSVM Hyperparameters
setup_RandomPartition   Set up a 'RandomPartitionConfig'
setup_Ranger            Setup Ranger Hyperparameters
setup_Resampler         Setup a Resampler (Deprecated)
setup_SHAP              Setup SHAP Explanation
setup_SPLS              Setup SPLS Hyperparameters
setup_SerialExecution   Set up a 'SerialExecutionConfig'
setup_SpectralLaplace   Setup SpectralLaplaceConfig
setup_SpectralLocal     Setup SpectralLocalConfig
setup_SpectralRBF       Setup SpectralRBFConfig
setup_SplitConformal    Setup Split Conformal Prediction
setup_StratBoot         Setup StratBoot Resampler
setup_StratSub          Setup StratSub Resampler
setup_SuperConfig       Setup SuperConfig
setup_SuperConfigLive   Setup SuperConfigLive
setup_SuperLearner      Setup SuperLearner Hyperparameters
setup_SupervisedPreprocessor
                        Setup Supervised Preprocessor
setup_TabNet            Setup TabNet Hyperparameters
setup_TimePartition     Set up a 'TimePartitionConfig'
setup_UMAP              Setup UMAP config.
setup_VariationalAutoencoder
                        Setup Variational Autoencoder config.
setup_XLSXIngest        Set up an 'XLSXIngestConfig'
setup_tSNE              Setup tSNE config.
shap_by_level           Contributions of a categorical feature, by the
                        level each case has
shap_case               One case's contributions, ordered by how much
                        they moved the prediction
shap_long               Every contribution, one row per case per
                        feature
show_color_key          Show rtemis color key
size                    Size of object
table_column_attr       Tabulate column attributes
train                   Train Supervised Learning Models
tune_over               Mark the values to tune a hyperparameter over
tuning_grid             Tuning grid of a Hyperparameters object
validate_config         Validate an rtemis config, against the schema
                        and optionally against data
varimp_table            Variable importance as one table
write_config            Write an rtemis config to a JSON file
write_record            Write a run record to a JSON file
write_result            Write a portable result with optional Parquet
                        payloads
write_text              Write a report as text
writeup                 Write the Methods and Results sections for a
                        trained model
