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