pyspark-ds-toolbox 0.3.0

A Pyspark companion for data science tasks.

Pyspark DS Toolbox

The objective of the package is to provide a set of tools that helps the daily work of data science with spark. The documentation can be found here.

Installation

Directly from PyPi:

pip install pyspark-ds-toolbox

or from github:

pip install git+https://github.com/viniciusmsousa/pyspark-ds-toolbox.git

Organization

The package is currently organized in a structure based on the nature of the task, such as data wrangling, model/prediction evaluation, and so on.

pyspark_ds_toolbox         # Main Package
├─ causal_inference           # Sub-package dedicated to Causal Inferece
│  ├─ diff_in_diff.py   
│  └─ ps_matching.py    
├─ ml                         # Sub-package dedicated to ML
│  ├─ data_prep.py      
│  ├─ classification          # Sub-package decidated to classification tasks
│  │  ├─ eval.py
│  │  └─ baseline_classifiers.py 
│  └─ feature_importance 
│     ├─ native_spark.py
│     └─ shap_values.py    
├─ wrangling.py        
└─ stats                      # Sub-package dedicated to basic statistic functionalities
   └─ association.py