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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.

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