ConstantChangeLog

7.4

• added function to easly retrieve datasets from Smile Github data folder
• upgraded deps
• added tidy,glance and augment for OLS

v7.3

• allow classificaion of already numeric targets
• re-added some gridsearch options
• added loglikelihood calculatin for OLS
• added one-line linear regression

v7.2

• use latest metamorph.ml

v7.1.657

• use latest metamorph.ml

v7.1.656

• adapted to tablecloth 7.x

v7.0.650

• fixed pom.xml in release

v7.0.642

• fixed arrity exception in reduce-dimensions transform
• allow configuration of ppmap grain size

v7.0.632

• fixed serialisation for svm
• added tfidf->dense
• added :tf-map-handler-fn to support pruning of the terms for tfidf
• metamorph'ed bow->tfidf reuses tf-map from :fit in :transform
• added 2 weighting schemes for tf calculation
• added 3 weighting schemes for idf calculation
• support :word-normalize-fn in count-vectorizer to configure tokenisation

v6.2.585

• added LDA QDA RDA FLD]

6.1.578

• produce java 8 compatible java classes
• more docu

6.1.572

add 3 types of unsupervised models

• added clustering models
• added projection models
• added manifold models

6.00

• added Malli schemas to model options

5.07

• added clustering

5.06

• added projections
• added more model specific docu

3.00

• Upgrade to smile 2.5.0.
• Minimum workingtech.ml.dataset version is 4.00

2.0-beta-56

Breaking Change: Smile 2.4.0 upgrade.

There are fewer smile regressors and classifiers supported. XGBoost support is the same. This requires [techascent/tech.ml.dataset "2.0-beta-56"] or later. If you are using dataset, xgboost, or the set of supported smile regressors and classifiers changes to your code should be zero or minimal.

2.0-beta-48

Breaking Change: This library expects tech.ml.dataset to be provided. So your project needs both this library and [tech.ml.dataset "2.0-beta-49"]. This is to reduce the number of spurious releases.