mildsvm - mildsvm 0.4.1

• Fix documentation to address CRAN NOTEs
• Minor updates to functions, snapshot tests, and Github actions to accomodate newer versions of other packages (in particular, dplyr, tibble, testthat)

- R
Published by skent259 6 months ago

mildsvm - v0.4.0

First version available on CRAN

Add ordinal methods to the package

• Add omisvm() for ordinal multiple instance support vector machine
• Add mior() for multiple instance ordinal regression
• Add misvm_orova() for MI-SVM reducing ordinal to binary one-vs-all classification
• Add svor_exc() for support vector ordinal regression with explicit constraints

Other changes

• Breaking: change generate_mild_df() to a new interface
• Breaking: change mildsvm() to mismm()
• Breaking: fix S3 method issue, affects mi_df and mild_df methods parameter
• Add mi_df() class and methods, including as_mi_df()
• Add method for mi_df objects for misvm(), cv_misvm() and all new ordinal methods
• Add ordmvnorm data for examples
• Add print methods for kfm_exact, kfm_nystrom, mild_df, mior, misvm, mismm, misvm_orova, omisvm, smm, svor_exc
• Package now depends on R > 3.5.0, new imports of pillar, utils
• fix warning when misvm() has matrix passed
• fix .reorder() ambiguity
• pass lintr checks
• re-work internals for easier testing

- R
Published by skent259 over 3 years ago

mildsvm - v0.3.1

A few minor bug fixes: - Fix bug where NaN columns passed to mildsvm() would fail - Fix bug where columns with identical values passed to mildsvm() would fail

- R
Published by skent259 almost 5 years ago

mildsvm - v0.3.0

• Add new method to mildsvm(): method = 'qp-heuristic'. This works similar to the method of the same name in misvm(), but uses the SMM kernel from kme() in the underlying calculations.
  
• Fix bug in classify_bags() when using factors

- R
Published by skent259 almost 5 years ago

mildsvm - v0.2.0

Major changes to the package API to follow typical R package conventions. - The main modeling functions (misvm(), mildsvm(), and smm()) now have three methods: - Formula method (i.e. misvm(mi(y, bags) ~ x1 + x2, data = df, ...)) - Data-frame method (i.e. misvm(x, y, bags, ...)) - Method for the mild_df class (I.e. misvm(mil_data, ...)). This method often performs non-trivial aggregation or transformation since misvm() and smm() work naturally on MIL data and supervised data, respectively.
- Prediction on main modeling functions always returns a tibble with a single column depending on the type argument - Kernel feature maps functions are now organized as kfm_nystrom(), kfm_exact() with a build_fm() method. - Update MilData class to mild_df class, and improve the class methods and constructors. - Many internal methods removed and restructured.

- R
Published by skent259 almost 5 years ago

mildsvm - v0.1.0

Initial release

This release has several known bugs and an early input/output scheme that has since been revised. This represents a mostly working starting point.

- R
Published by skent259 about 5 years ago