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Changelog History
Page 7

  • v0.9.1 Changes

    • ➕ Add class for Extra-Trees classifier.
    • ➕ Add class for Extra-Trees regressor.
    • 🐎 Refactor extension modules of decision tree estimators for improving performance.

  • v0.9.0 Changes

    💥 Breaking changes

    • 🐎 Decide to introduce Ruby extensions for improving performance.
    • 🛠 Fix to find split point on decision tree estimators using extension modules.

  • v0.8.4 Changes

    • ✂ Remove unused parameter on Nadam.
    • 🛠 Fix condition to stop growing tree about decision tree.

  • v0.8.3 Changes

    • ➕ Add optimizer class for AdaGrad.
    • ➕ Add evaluator class for ROC AUC.
    • ➕ Add class for scaling with maximum absolute value.

  • v0.8.2 Changes

    • ➕ Add class for Adam optimizer.
    • ➕ Add data splitter classes for random permutation cross validation.
    • ➕ Add accessor method for number of splits to K-fold splitter classes.
    • ➕ Add execution result of example script on README (#3).

  • v0.8.1 Changes

    • ➕ Add some evaluator classes.
      • MeanSquaredLogError
      • MedianAbsoluteError
      • ExplainedVarianceScore
      • AdjustedRandScore
      • MutualInformation
    • 🔨 Refactor normalized mutual infomation evaluator.
    • 🛠 Fix typo on document (#2).

  • v0.8.0 Changes

    💥 Breaking changes

    • 📇 Rename SVMKit to Rumale.
    • 📇 Rename SGDLienareEstimator class to BaseLienarModel class.
    • Add data type option to load_libsvm_file method. By default, the method represents the feature with Numo::DFloat.

    🔨 Refactoring

    • 🔨 Refactor factorization machine estimators.
    • 🔨 Refactor decision tree estimators.

  • v0.7.3 Changes

    • ➕ Add class for grid search performing hyperparameter optimization.
    • ➕ Add argument validations to Pipeline.

  • v0.7.2 Changes

    • ➕ Add class for Pipeline that constructs chain of transformers and estimators.
    • 🛠 Fix some typos on document (#1).

  • v0.7.1 Changes

    • 🛠 Fix to use CSV class in parsing libsvm format file.
    • 🔨 Refactor ensemble estimators.