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• 329845330-categorical-data-decode
• 0.2.0-ml-dataframe-supported
• 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
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• 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
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• 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
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• k-fold-validator-add-data-preprocessing-step
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• recall-metric
• rename-and-reorganize-data-splitters
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• set-github-actions
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• softmax-regression-serialization
• softmax-unit-tests
• squeeze-outpur-numeric-range-for-regression-metrics
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Build # 278

Build Type

Pull #94

travis-ci-com

Committed by web-flow

Commit Message

readme updated

Pull Request Pull Request #94: Categorical data decoding provided

Run Details

336 of 481 relevant lines covered (69.85%)

3.53 hits per line