vangj / spark-bbnLinks
A Spark API for learning Bayesian Belief Networks.
☆10Updated 7 years ago
Alternatives and similar repositories for spark-bbn
Users that are interested in spark-bbn are comparing it to the libraries listed below
Sorting:
- Hmong History Timeline Project☆12Updated 4 years ago
- deep learning using darkflow and darknet to detect mario☆10Updated 4 years ago
- R-like formula approach to Spark Dataframes☆10Updated 4 years ago
- Pairwise association measures of statistical variable types☆21Updated 3 years ago
- A collection of pedantic docker containers.☆30Updated 6 months ago
- Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling☆56Updated last month
- A collection of online books for data science, computer science and coding!☆79Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Updated 6 months ago
- A Python port of R's stl function☆13Updated 7 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Updated 6 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- ☆24Updated 5 years ago
- Presentation materials for PyMC Statespace☆25Updated last year
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧☆36Updated 3 years ago
- ☆90Updated 4 years ago
- An Absolute Beginner's Guide to Deep Learning with Keras, a PyBay 2018 talk☆22Updated 6 years ago
- A curated list of just the right amount of resources on causal inference.☆14Updated 3 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated 2 years ago
- Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes☆27Updated 8 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Uplift modeling package.☆376Updated 2 years ago
- Causal Graphical Models in Python☆249Updated 2 years ago
- a Matlab library of computational causal discovery and variable selection algorithms☆18Updated 5 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆349Updated 2 years ago
- Python package for Wald's sequential probability ratio test☆47Updated last year
- Spark in Action, 2nd edition - chapter 8☆18Updated 2 years ago
- Learning the structure of graphical models from datasets with thousands of variables☆35Updated 7 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year