0.0.6.5
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
»
core
»
core.commands
Edit on GitHub
core.commands
ΒΆ
Basic training and inference functions.
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v: 0.0.6.5
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