tidysynthesis 0.1.2

• Prepare tidysynthesis for CRAN release (#26).

tidysynthesis 0.1.1

• Add rounding to noise() (#6) and fix obs_per_ntile in noise() (#3).
• Add default noise mechanism in synth_spec() for when exactly one type of noise mechanism is specified (#2).
• Update printing for synthesize() (#4) and constraints (#10).
• Add a gini method to add_sequence_factor() and resolve minor bugs (#15, #16).
• Update documentation for built-in data sets (#7).

tidysynthesis 0.1.0

• Add constraints() support for generic conditions and categorical constraints.
• Update noise() to accept generic functions and parameters.
• Add new add_noise_*() functions for use with new generic noise().
• Audit and update all user-facing error messages for more informative errors.
• Refactor synthesize() internals for more modular development and validation.
• New replicates() logic for replicating start methods and conditional syntheses independently.

tidysynthesis 0.0.7

• New tidymodels inspired API.
• Add visit_sequence API for mixed-type data-dependent sequencing.
• Add start_method for randomized start_data transformations.
• Add tuners and user-specified hyperparameter tuning.
• Update constraints() to work with NA values.
• Remove dependence on furrr and stratified synthesis.

tidysynthesis 0.0.6

• Fix a bug caused by col_schema in visit_sequence not following the sort order of the visit_sequence.

tidysynthesis 0.0.5

• Add ability to synthesize numeric and categorical variables with NA.
• Add ability to extract information from synthesizer models using extract_*() functions.
• Refactor schema() object and reverse the order of schema() and visit_sequence() in a typical synthesis.
• Improve ldiversity calculations for tree-based models.
• Fix issue with empty factor levels caused by new version of library(recipes).

tidysynthesis 0.0.4

• Refactor construct_recipes() to handle much larger data sets. The . notation in the formula caused a C Stack error for with large visit sequences.
• Add variable-by-variable hyperparameter tuning.
• Add ability to store model metrics from each predictive model.
  
• Add new schema object to support mixed-data types and data validation.
• Add categorical sampler for random forests and add samplers for logistic regression and Poisson regression.
• Improve validators for S3 objects.
• Add library(ranger).
• Add support for batch synthesis.
• Update installation instruction.

tidysynthesis 0.0.3

• Fix bug in sample_rpart() for categorical synthesis.
• Fix bug in progress bar caused by library(furrr). The package now uses library(progressr) for tracking progress.

tidysynthesis 0.0.2

• Add default objects in presynth() for noise, constraints, and replicates so noise(), constraints(), and replicates() don’t always need to be called.
• Add code to handle empty factor levels, which break many models.
• Add tests in roadmap() for ordinal variables.
• Make the "identity" method use the same structure as models from library(parsnip).
• Add tests and fix all issues with s3 print methods.
• Rewrite joins with multiple = "all" to minimize R warnings.

tidysynthesis 0.0.1

• Create first numbered version of library(tidysynthesis)!
• Rewrite assign_constraints() and synthesize_j() to improve performance by as much as 10x.
• Factors are now synthesized as factors instead of strings.
• Add “identity” methods for variables without variation. This previously caused decision trees to error out.
• Add more tests for the ldiversity tibble.
• Add defaults for noise, constraints, and replicates in presynth().