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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().

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.