BigARTM
stable
  • Introduction
  • Downloads
  • Installation
  • User’s Guide
    • Input Data Formats and Datasets
    • BigARTM Command Line Utility
    • Python Tutorial
    • Python Guide
    • Regularizers Description
    • Scores Description
  • API References
  • VisARTM
  • Release Notes
  • BigARTM Developer’s Guide
BigARTM
  • Docs »
  • User’s Guide
  • Edit on GitHub

User’s Guide¶

  • Input Data Formats and Datasets
  • BigARTM Command Line Utility
  • Python Tutorial
  • Python Guide
    • 1. Loading Data: BatchVectorizer and Dictionary
    • 2. Base PLSA Model with Perplexity Score
    • 3. Regularizers and Scores Usage
    • 4. Multimodal Topic Models
    • 5. Phi and Theta Extraction. Transform Method
    • 6. Tokens Co-occurrence and Coherence Computation
    • 7. Attach Model and Custom Phi Initialization
    • 8. Deal with Ptdw Matrix
    • Different Useful Techniques
  • Regularizers Description
    • Smooth/Sparse Phi
    • Smooth/Sparse Theta
    • Decorrelator Phi
    • Label Regularization Phi
    • Specified sparse Phi
    • Improve Coherence Phi
    • Smooth Ptdw
    • Topic Selection Theta
    • Biterms Phi
    • Hierarchy Sparsing Theta
    • Topic Segmentation Ptdw
  • Scores Description
    • Perplexity
    • Sparsity Phi
    • Sparsity Theta
    • Top Tokens
    • Topic Kernel Scores
    • Topic Mass
    • Class Precision
    • Background Tokens Ratio
    • Items Processed (technical)
    • Theta Snippet (technical)
Next Previous

© Copyright 2015, Konstantin Vorontsov Revision 14c93c20.

Built with Sphinx using a theme provided by Read the Docs.
Read the Docs v: stable
Versions
master
latest
stable
v0.9.0
v0.8.3
v0.8.2
v0.8.1
v0.8.0
v0.7.6
v0.7.5
v0.7.4
v0.7.3
v0.7.2
v0.7.1
v0.7.0
v0.6.4
v0.6.3
v0.6.2
v0.6.1
v0.6.0
v0.5.9
v0.5.8
v0.5.7
v0.5.6
v0.5.5
v0.5.4
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.