bnpy 0.1
  • Examples
  • Installation
  • Allocation Models
  • Observation Models
  • Example Gallery
    • Asterisk toy dataset
    • Standard Normal dataset
    • Old faithful dataset
    • Toy bars dataset: one bar per doc
    • Toy bars dataset: many bars per doc
    • we8there bag-of-words text dataset
    • Small wikipedia bag-of-words text dataset
    • Small dataset of 6 motion-capture sequences
  • Go to Github repo

Example Gallery¶

Asterisk toy dataset¶

Training mixture models and DP mixture models on well-separated 2D Gaussian blobs.

Initialization for Mixtures of Gaussians

Initialization for Mixtures of Gaussians

Initialization for Mixtures of Gaussians
Variational coordinate descent for Mixture of Gaussians

Variational coordinate descent for Mixture of Gaussians

Variational coordinate descent for Mixture of Gaussians
Variational with birth and merge proposals for DP mixtures of Gaussians

Variational with birth and merge proposals for DP mixtures of Gaussians

Variational with birth and merge proposals for DP mixtures of Gaussians
Warm Starting from a Previously Trained Mixture of Gaussians

Warm Starting from a Previously Trained Mixture of Gaussians

Warm Starting from a Previously Trained Mixture of Gaussians

Standard Normal dataset¶

Variational training of DP mixture models on thousands of points from a single 1D Gaussian with mean 0 and variance 1.

Variational with merge and delete proposals for DP mixtures of Gaussians

Variational with merge and delete proposals for DP mixtures of Gaussians

Variational with merge and delete proposals for DP mixtures of Gaussians

Old faithful dataset¶

Variational training of DP mixture models on classic dataset on eruption times from Old Faithful geyser in Yellowstone National Park.

Variational training for Mixtures of Gaussians

Variational training for Mixtures of Gaussians

Variational training for Mixtures of Gaussians
Variational with merge and delete proposals for DP mixtures of Gaussians

Variational with merge and delete proposals for DP mixtures of Gaussians

Variational with merge and delete proposals for DP mixtures of Gaussians
Demonstration of Sparse Responsibilities for Mixtures of Gaussians

Demonstration of Sparse Responsibilities for Mixtures of Gaussians

Demonstration of Sparse Responsibilities for Mixtures of Gaussians

Toy bars dataset: one bar per doc¶

Variational training of mixture models and topic models with Multinomial likelihoods on simple toy “bars” dataset.

01: Standard variational training for mixture model

01: Standard variational training for mixture model

01: Standard variational training for mixture model
02: Training DP mixture model with birth and merge proposals

02: Training DP mixture model with birth and merge proposals

02: Training DP mixture model with birth and merge proposals
03: Standard variational training for topic model

03: Standard variational training for topic model

03: Standard variational training for topic model
04: Training HDP Topic Model with merge proposals

04: Training HDP Topic Model with merge proposals

04: Training HDP Topic Model with merge proposals
05: Training for HDP Topic Model with birth and merge proposals

05: Training for HDP Topic Model with birth and merge proposals

05: Training for HDP Topic Model with birth and merge proposals
01: Standard variational training for mixture model

01: Standard variational training for mixture model

01: Standard variational training for mixture model

Toy bars dataset: many bars per doc¶

Variational training of mixture models and topic models with Multinomial likelihoods on toy “bars” dataset with multiple bars per document.

01: Standard variational training for mixture model

01: Standard variational training for mixture model

01: Standard variational training for mixture model

we8there bag-of-words text dataset¶

Text from some restaurant reviews (Taddy 2012). Variational training of mixture models and topic models with Multinomial likelihoods.

VB coordinate descent for Mixture of Multinomials

VB coordinate descent for Mixture of Multinomials

VB coordinate descent for Mixture of Multinomials
VB coordinate descent for DP Mixture of Multinomials

VB coordinate descent for DP Mixture of Multinomials

VB coordinate descent for DP Mixture of Multinomials
Standard variational training for topic model

Standard variational training for topic model

Standard variational training for topic model
Birth and merge variational training for topic model

Birth and merge variational training for topic model

Birth and merge variational training for topic model

Small wikipedia bag-of-words text dataset¶

Text from a few thousand wikipedia articles. Variational training of mixture models and topic models with Multinomial likelihoods.

Scalable training of HDP topic models

Scalable training of HDP topic models

Scalable training of HDP topic models
Birth and merge variational training for topic model

Birth and merge variational training for topic model

Birth and merge variational training for topic model

Small dataset of 6 motion-capture sequences¶

Variational training of mixture models and HMM models with various Gaussian observation models.

Comparing models for sequential data

Comparing models for sequential data

Comparing models for sequential data
Merge moves with HDP-HMM

Merge moves with HDP-HMM

Merge moves with HDP-HMM
Visualizing learned state sequences and transition probabilities

Visualizing learned state sequences and transition probabilities

Visualizing learned state sequences and transition probabilities
Visualizing learned state sequences and transition probabilities

Visualizing learned state sequences and transition probabilities

Visualizing learned state sequences and transition probabilities
Topic models with Gaussian likelihoods

Topic models with Gaussian likelihoods

Topic models with Gaussian likelihoods

Download all examples in Python source code: examples_python.zip

Download all examples in Jupyter notebooks: examples_jupyter.zip

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Last updated on 2022 October 15.
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