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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  • Welcome to pandas-ml’s documentation!
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Welcome to pandas-ml’s documentation!¶

Contents:

  • What’s new
    • v0.6.0
    • v0.5.0
    • v0.4.0
    • v0.3.1
    • v0.3.0
    • v0.2.0
    • v0.1.1
    • v0.1.0
  • Data Handling
    • Data Preparation
    • Data Manipulation
  • Use scikit-learn
    • Basics
    • Use Module Level Functions
    • Pipeline
    • Cross Validation
    • Grid Search
  • Handling imbalanced data
    • Sampling
  • Use XGBoost
  • Use patsy
  • Confusion matrix
    • Matplotlib plot of a confusion matrix
    • Matplotlib plot of a normalized confusion matrix
    • Binary confusion matrix
    • Matplotlib plot of a binary confusion matrix
    • Matplotlib plot of a normalized binary confusion matrix
    • Seaborn plot of a binary confusion matrix (ToDo)
    • Confusion matrix and class statistics

API:

  • pandas_ml.core package
    • Submodules
    • Module contents
  • pandas_ml.skaccessors package
    • Subpackages
    • Submodules
    • Module contents
  • pandas_ml.xgboost package
    • Subpackages
    • Submodules
    • Module contents
Next

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