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machinelearn - npm Package Versions

2.1.5

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visualbbasic
published 2.1.4 •

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[2.1.4]

:bug: Browser bundle fix :bug:

  • fix: Browser bundle is now correctly working but it now excludes SVM and dataset APIs during the bundling process
visualbbasic
published 2.1.3 •

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[2.1.3]

:feature: new API! :feature:

  • feature: BaggingClassifier added by @OlegStotsky congratulations!
visualbbasic
published 2.1.2 •

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Source

[2.1.2]

:bug: Installation issues :bug:

  • fix: SVM APIs are now based on libsvm-ts, a new module managed by machinelearn.js! It solves various issues and introduces friendlier/easy-to-use APIs
  • fix: fs-extra is no longer a production dependency
visualbbasic
published 2.1.1 •

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[2.1.1]

:rocket: new API! :rocket:

  • feature: mean_squared_log_error by @VariableVasasMT thanks!
  • enhance: Enhanced CI using AzurePipelines
visualbbasic
published 2.1.0 •

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[2.1.0]

:rocket: New API! :rocket:

  • feature: Logistic Regression by @OlegStotsky
  • feature: Heart Disease dataset by @OlegStotsky
  • enhance: Various internal code enhancement
visualbbasic
published 2.0.2 •

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Source

[2.0.2]

:bug: API consistency update :bug:

  • enhance: MinMaxScaler now implements transform and fit_transform correctly accroding to ScikitLearn MinMaxScaler
visualbbasic
published 2.0.1 •

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Source

[2.0.1]

:rocket: feature implementations :rocket:

  • feature: Multivariate Linear Regression
visualbbasic
published 2.0.0 •

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Source

[2.0.0]

:rocket: Version 2 release! :rocket:

  • enhance: PCA refactored to tfjs-core
  • enhance: GaussianNB is now refactored to tfjs-core @benjaminmcdonald thanks!!
  • feature: MultinomialNB written in tfjs-core @benjaminmcdonald thanks again!
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