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Intro

  • Hello bot!
  • Installation
  • Conceptual overview
    • Key Concepts
  • Features
    • Components
    • Skills
    • Parameters evolution
    • Embeddings
    • Examples of some components
  • Configuration files
    • Training
      • Train config
      • Train Parameters
      • DatasetReader
      • DataLearningIterator and DataFittingIterator
    • Inference
  • Pre-trained word vectors
    • License
    • Downloads
    • Word vectors training parameters
  • Parameters evolution
    • Example
  • Tutorials
    • Introduction to DeepPavlov
    • Data preparation in DeepPavlov
    • Named Entity Recognition with DeepPavlov
    • Task-oriented bot with DeepPavlov
    • Chit-chat bot with DeepPavlov

Components

  • Context Question Answering
    • Task definition
    • Model
    • Configuration
    • Model usage
      • Training
      • Interact mode
    • Pretrained models:
      • SQuAD
      • SDSJ Task B
  • Classification
    • Download pre-trained model
    • Infer from pre-trained model
    • Train model
      • Available models
      • Configuration parameters
      • Train again on provided datasets
      • Train on other datasets
    • Comparison
    • How to improve the performance
    • References
  • Morphological Tagger
    • Task description
      • Training data
      • Test data
    • Algorithm description
    • Model configuration.
      • Training configuration
        • Dataset Reader
        • Dataset iterator
        • Chainer
      • Evaluate configuration
      • Predict configuration
  • Named Entity Recognition
    • NER task
    • Training data
    • Configuration of the model
      • Dataset Reader
      • Dataset Iterator
      • Chainer
    • Train and use the model
    • OntoNotes NER
    • Results
    • Literature
  • Neural Ranking
    • Infer from pre-trained model
    • Train model
    • Comparison
    • Literature
  • Slot filling
    • Configuration of the model
      • Dataset Reader
      • Dataset Iterator
      • Chainer
    • Usage of the model
    • Slotfilling without NER
  • Spelling Correction
    • Quick start
    • levenshtein_corrector
      • Component config parameters:
    • brillmoore
      • Component config parameters:
      • Training configuration
    • Language model
    • Comparison
  • TF-IDF Ranking
    • Config
      • Config Structure
    • Running the Ranker
      • Training
      • Interacting
    • Available Data and Pretrained Models
      • enwiki.db
      • enwiki_tfidf_matrix.npz
      • ruwiki.db
      • ruwiki_tfidf_matrix.npz
    • Comparison
    • References

Skills

  • Goal-Oriented Dialogue Bot
    • Usage
      • Requirements
      • Configs:
      • Usage example
      • Config parameters
    • Datasets
      • DSTC2
      • Your data
        • Dialogs
        • Templates
        • Database (optional)
    • Comparison
    • References
  • Open-Domain Question Answering
    • Task definition
    • Languages
    • Models
    • Running ODQA
      • Training
      • Interacting
    • Configuration
    • Comparison
    • References
  • Pattern Matching
  • Sequence-To-Sequence Dialogue Bot
    • Configs
      • Usage
    • Config parameters:
      • References

Package Reference

  • core
    • core.commands
    • core.common
    • core.data
    • core.layers
    • core.models
  • dataset_iterators
  • dataset_readers
  • metrics
  • models
    • deeppavlov.models.api_requester
    • deeppavlov.models.classifiers
    • deeppavlov.models.embedders
    • deeppavlov.models.go_bot
    • deeppavlov.models.morpho_tagger
    • deeppavlov.models.ner
    • deeppavlov.models.preprocessors
    • deeppavlov.models.ranking
    • deeppavlov.models.seq2seq_go_bot
    • deeppavlov.models.slotfill
    • deeppavlov.models.spelling_correction
    • deeppavlov.models.squad
    • deeppavlov.models.tokenizers
    • deeppavlov.models.vectorizers
  • skills
    • skills.pattern_matching_skill
  • vocabs

Developer Guides

  • REST API
  • How to contribute
DeepPavlov
  • Docs »
  • Welcome to DeepPavlov’s documentation!
  • Edit on GitHub

Welcome to DeepPavlov’s documentation!¶

Intro

  • Hello bot!
  • Installation
  • Conceptual overview
  • Features
  • Configuration files
  • Pre-trained word vectors
  • Parameters evolution
  • Tutorials

Components

  • Context Question Answering
  • Classification
  • Morphological Tagger
  • Named Entity Recognition
  • Neural Ranking
  • Slot filling
  • Spelling Correction
  • TF-IDF Ranking

Skills

  • Goal-Oriented Dialogue Bot
  • Open-Domain Question Answering
  • Pattern Matching
  • Sequence-To-Sequence Dialogue Bot

Package Reference

  • core
    • core.commands
    • core.common
    • core.data
    • core.layers
    • core.models
  • dataset_iterators
  • dataset_readers
  • metrics
  • models
    • deeppavlov.models.api_requester
    • deeppavlov.models.classifiers
    • deeppavlov.models.embedders
    • deeppavlov.models.go_bot
    • deeppavlov.models.morpho_tagger
    • deeppavlov.models.ner
    • deeppavlov.models.preprocessors
    • deeppavlov.models.ranking
    • deeppavlov.models.seq2seq_go_bot
    • deeppavlov.models.slotfill
    • deeppavlov.models.spelling_correction
    • deeppavlov.models.squad
    • deeppavlov.models.tokenizers
    • deeppavlov.models.vectorizers
  • skills
    • skills.pattern_matching_skill
  • vocabs

Developer Guides

  • REST API
  • How to contribute

Indices and tables¶

  • Index
  • Module Index
Next

© Copyright 2018, Neural Networks and Deep Learning lab, MIPT. Revision 836229ff.

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