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Intro

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

Components

  • Data Processors
    • Preprocessors
    • Tokenizers
    • Embedders
    • Vectorizers
  • Context Question Answering
    • Task definition
    • Model
    • Configuration
    • Model usage
      • Training
      • Interact mode
    • Pretrained models:
      • SQuAD
      • SQuAD with contexts without correct answers
      • SDSJ Task B
  • Classification
    • Pre-trained models
    • Download pre-trained model
    • Infer from pre-trained model
    • Train model
      • Available Neural 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
    • Ranking
    • Paraphrase identification
    • References
  • 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
    • Configuration
    • 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:
      • Comparison
    • References
  • Frequently Asked Questions Answering
    • Config
      • Config Structure
      • Vectorizers
      • Classifiers for FAQ
    • Running FAQ
      • Training
      • Interacting
    • Available Data and Pretrained Models
  • eCommerce Bot
    • Usage
      • Requirements
      • Config file
      • Usage example
    • Configuration settings
      • Chainer
    • References

Package Reference

  • agents
    • deeppavlov.agents.default_agent
    • deeppavlov.agents.filters
    • deeppavlov.agents.hello_bot_agent
    • deeppavlov.agents.processors
    • deeppavlov.agents.rich_content
  • core
    • deeppavlov.core.agent
    • deeppavlov.core.commands
    • deeppavlov.core.common
    • deeppavlov.core.data
    • deeppavlov.core.models
    • deeppavlov.core.skill
  • dataset_iterators
  • dataset_readers
  • metrics
  • models
    • deeppavlov.models.api_requester
    • deeppavlov.models.classifiers
    • deeppavlov.models.doc_retrieval
    • 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.sklearn
    • deeppavlov.models.slotfill
    • deeppavlov.models.spelling_correction
    • deeppavlov.models.squad
    • deeppavlov.models.tokenizers
    • deeppavlov.models.vectorizers
  • skills
    • deeppavlov.skills.default_skill
    • deeppavlov.skills.ecommerce_bot.bot
    • deeppavlov.skills.pattern_matching_skill
  • vocabs

Developer Guides

  • Extending the library
  • Microsoft Bot Framework integration
    • 1. Web App Bot setup
    • 2. DeepPavlov skill/component REST service mounting
  • REST API
  • Yandex Alice integration
    • Pipelines
    • Agents
DeepPavlov
  • Docs »
  • core
  • Edit on GitHub

coreΒΆ

DeepPavlov Core

Core

  • deeppavlov.core.agent
  • deeppavlov.core.commands
  • deeppavlov.core.common
  • deeppavlov.core.data
  • deeppavlov.core.models
  • deeppavlov.core.skill
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