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
Docs
»
Welcome to pandas-ml’s documentation!
Edit on GitHub
Welcome to pandas-ml’s documentation!
¶
Contents:
What’s new
v0.6.1
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