pandas_ml
latest
  • What’s new
  • Data Handling
  • Use scikit-learn
  • Handling imbalanced data
  • Use XGBoost
  • Use patsy
  • Confusion matrix
  • pandas_ml.core package
  • pandas_ml.skaccessors package
  • pandas_ml.xgboost package
pandas_ml
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  • pandas_ml package
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pandas_ml package¶

Subpackages¶

  • pandas_ml.confusion_matrix package
    • Subpackages
      • pandas_ml.confusion_matrix.test package
        • Submodules
        • Module contents
    • Submodules
    • Module contents
  • pandas_ml.core package
    • Submodules
    • Module contents
  • pandas_ml.imbaccessors package
    • Subpackages
      • pandas_ml.imbaccessors.test package
        • Submodules
        • Module contents
    • Submodules
    • Module contents
  • pandas_ml.misc package
    • Subpackages
      • pandas_ml.misc.test package
        • Submodules
        • Module contents
    • Submodules
    • Module contents
  • pandas_ml.skaccessors package
    • Subpackages
      • pandas_ml.skaccessors.test package
        • Submodules
        • Module contents
    • Submodules
    • Module contents
  • pandas_ml.smaccessors package
    • Subpackages
      • pandas_ml.smaccessors.test package
        • Submodules
        • Module contents
    • Submodules
    • Module contents
  • pandas_ml.snsaccessors package
    • Subpackages
      • pandas_ml.snsaccessors.test package
        • Submodules
        • Module contents
    • Submodules
    • Module contents
  • pandas_ml.test package
    • Submodules
    • Module contents
  • pandas_ml.util package
    • Submodules
    • Module contents
  • pandas_ml.xgboost package
    • Subpackages
      • pandas_ml.xgboost.test package
        • Submodules
        • Module contents
    • Submodules
    • Module contents

Submodules¶

pandas_ml.tools.info()¶

Module contents¶

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