develop
General Information
About AMIDST
What is AMIDST?
Scalability
Multi-Core Scalablity using Java 8 Streams
Distributed Scalablity using Apache Flink
Related Software
Examples
Sparklink: Code Examples
Input/output
Reading data
Writing data
Parameter learning
Wekalink: using an AMIDST classifier in Weka
Prepare your project
Create the wrapper class
Testing the AMIDST classifier in Weka
Tutorial: Easy Machine Learning with Latent Variable Models in AMIDST
Setting up
Static Models
Learning and saving to disk
Learning from Flink
Inference
Custom static model
Dynamic Models
Inference
Custom dynamic model
Flinklink: Code Examples
Input/output
Reading data
Writing data
Parametric learning
Parallel Maximum Likelihood
Distributed Variational Message Passing
Distributed VI
Stochastic VI
Extensions and applications
Latent variable models with Flink
Concept drift detection
Dynamic Bayesian Networks: Code Examples
Data Streams
Dynamic Random Variables
Dynamic Bayesian networks
Creating Dynamic Bayesian networks
Creating Dynamic Bayesian Networks with Latent Variables
Modifying Dynamic Bayesian Networks
Sampling from Dynamic Bayesian Networks
Inference Algorithms for Dynamic Bayesian Networks
The Dynamic MAP Inference
The Dynamic Variational Message Passing
The Dynamic Importance Sampling
Dynamic Learning Algorithms
Maximum Likelihood for DBNs
Streaming Variational Bayes for DBNs
Bayesian Networks: Code Examples
Data Streams
Data Streams
Models
Creating BNs
Creating Bayesian networks with latent variables
Modifying Bayesian networks
Input/Output
I/O of data streams
I/O of BNs
Inference
The inference engine
Inference
Variational Message Passing
Importance Sampling
Learning Algorithms
Maximum Likelihood
Parallel Maximum Likelihood
Streaming Variational Bayes
Parallel Streaming Variational Bayes
Concept Drift Methods
Naive Bayes with Virtual Concept Drift Detection
HuginLink
Models conversion between AMiDST and Hugin
I/O of Bayesian Networks with Hugin net format
Invoking Hugin’s inference engine
Invoking Hugin’s Parallel TAN
MoaLink
AMIDST Classifiers from MOA
AMIDST Classifiers from MOA
First steps
Getting Started!
Quick start
Getting started in detail
Requirements for AMIDST Toolbox
For toolbox users
For AMIDST developers
Loading AMIDST dependencies from a remote maven repository
Installing a local AMIDST repository
Generating the packages for each module and for its dependencies
Contributing to AMIDST
Basic steps for contributing
Clone the repository
Create a new branch from develop
Modify the code and upload your changes
Merge the new branch with develop
Other
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