dialogy | Language understanding toolkit for human dialogs
kandi X-RAY | dialogy Summary
kandi X-RAY | dialogy Summary
dialogy is a Python library. dialogy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However dialogy build file is not available. You can install using 'pip install dialogy' or download it from GitHub, PyPI.
Dialogy is a library for building and managing SLU applications. Documentation.
Dialogy is a library for building and managing SLU applications. Documentation.
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dialogy has a low active ecosystem.
It has 17 star(s) with 4 fork(s). There are 6 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 7 open issues and 61 have been closed. On average issues are closed in 72 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of dialogy is 2.2.0
Quality
dialogy has no bugs reported.
Security
dialogy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
dialogy is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
dialogy releases are available to install and integrate.
Deployable package is available in PyPI.
dialogy has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed dialogy and discovered the below as its top functions. This is intended to give you an instant insight into dialogy implemented functionality, and help decide if they suit your requirements.
- Fuzzy search
- Perform entity search
- Search for entities matching the given regular expression
- Get the words from the pipeline
- Deserialize an Entity from a duckling response
- Returns whether the Entity has time component
- Join two time entities
- Returns the string representation of the entity class
- Parse command line arguments
- Adds project command arguments to the given argument parser
- Adds the command line arguments to the given parser
- Gets the Gmaps address
- Determine if a house number is absent from the response
- Get the house number from the transcript
- Generate a function to mapmyindia address
- Geocode address
- Generate a single entity
- Combine time Entities from slots
- Get the entities of the given transcript
- Performs a utility transformation
- The utility method
- Return a list of Intent instances
- Validates the duckling entity
- Train the regression pipeline
- Manage a project
- Get a list of matching addresses
Get all kandi verified functions for this library.
dialogy Key Features
No Key Features are available at this moment for dialogy.
dialogy Examples and Code Snippets
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dialogy create -h
usage: dialogy create [-h] [--template TEMPLATE] [--dry-run] [--namespace NAMESPACE] [--master] project
positional arguments:
project A directory with this name will be created at the root of command invocation.
op
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pip install dialogy
dialogy -h
usage: dialogy [-h] {create,update,train} ...
positional arguments:
{create,update,train}
Dialogy project utilities.
create Create a new project.
update Migr
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git clone git@github.com:skit-ai/dialogy.git
cd dialogy
# Activate your virtualenv, you can also let poetry take care of it.
poetry install
make test
Community Discussions
No Community Discussions are available at this moment for dialogy.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dialogy
Dialogy's CLI supports building and migration of projects. Migration is hard because a few modules need a forced update but a few others should be retained by the developer. The lack of this expression makes it hard to migrate smoothly. Building new projects should be fairly simple.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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