gyrdym / ml_algo

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• master
• 0.2.0-ml-dataframe-supported
• 329845330-categorical-data-decode
• add-collect-data-and-predict-examples-to-readme
• add-collect-learning-data-to-softmax-regressor
• add-compile-time-di
• add-constants-for-allowed-metrics
• add-decision-tree-classifier-factory
• add-docs-for-rmse-metric
• add-documentation-for-decision-tree-serialization
• add-errors-collecting
• add-logistic-regressor-factory
• add-more-documentation
• add-more-examples-to-readme
• add-precision-metric
• add-rss-metric
• add-serialization-for-linear-regressor
• add-softmax-regressor-factory
• add-unit-tests-for-knn-classifier-impl-predict-probability
• add-unit-tests-for-regressor-assessor
• cast-categorical-data-to-string
• change-api-of-predictors
• collect-learning-data-linear-regressor
• conditional-dependency-registering
• correct-readme
• cost-functions-refactoring
• create-factories-to-all-predictors
• cross-validation-improvements
• cross-validator-unit-tests
• dataframe-driven-predictor-constructor-api
• decision-tree-classifier
• decision-tree-regressor
• distribution-calculator-naming-fix
• documentation-for-classification-metrics
• fix-for-knn-regressor
• fix-probability-value-validation
• float64-softmax-and-logit-cost-functions
• get-rid-of-score-to-prob-mapper-factory
• gyrdym-patch-1
• injector-1-0-9
• k-fold-validator-add-data-preprocessing-step
• kernel-regression
• knn-classifier
• label-name-parameter-data-frame
• linalg-7-0-0-support
• linear-regressor-serialization
• make-logit-numerically-stable
• metrics-documentation
• ml-dataframe-dependency
• ml-linalg-11-0-0-support
• model-persistance
• optimizer-refactoring
• parallel-cross-validation
• pedantic-package-integration
• readme-for-flutter-developers
• readme-typos
• readme-update-usage-example
• recall-metric
• rename-and-reorganize-data-splitters
• restore-coverage
• set-github-actions
• softmax-regression
• softmax-regression-serialization
• softmax-unit-tests
• squeeze-outpur-numeric-range-for-regression-metrics
• support-linalg-6-1-0
• test-coverage
• train-test-split-functionality
• v12.1.0
• v12.1.1
• v13.0.0
• v13.1.0
• v13.1.1
• v13.10.0
• v13.2.0
• v13.3.0
• v13.3.2
• v13.3.3
• v13.3.4
• v13.3.5
• v13.3.6
• v13.3.7
• v13.4.0
• v13.5.0
• v13.5.1
• v13.6.0
• v13.7.0
• v13.8.0
• v13.8.1
• v13.9.0
• v14.0.0
• v14.0.1
• v14.1.0
• v14.1.1
• v14.2.0
• v14.2.1
• v14.2.2
• v15.0.0
• weighted-knn
• xrange-0-0-6-lock

ml_dataframe 0.3.0 supported (#165)