CLDA | Clustered Latent Dirichlet Allocation , a data | Topic Modeling library

by groppcw Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | CLDA Summary

CLDA is a Python library typically used in Artificial Intelligence, Topic Modeling applications. CLDA has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However CLDA build file is not available. You can download it from GitHub.

Clustered Latent Dirichlet Allocation, a data decomposition approach to topic modeling in parallel.

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Support

CLDA has a low active ecosystem.

It has 5 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

CLDA has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CLDA is current.

Quality

CLDA has no bugs reported.

Security

CLDA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CLDA is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

CLDA releases are not available. You will need to build from source code and install.

CLDA has no build file. You will be need to create the build yourself to build the component from source.

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CLDA Key Features

No Key Features are available at this moment for CLDA.

CLDA Examples and Code Snippets

No Code Snippets are available at this moment for CLDA.

Community Discussions

Trending Discussions on CLDA

If then logic for insert query column case statements in transformations

QUESTION

If then logic for insert query column case statements in transformations

Asked 2018-Sep-19 at 20:58

We have transformations for our ERP/CRM integration. We can hard code the transformation or use lookup tables. Now we have to comment out one method as the table lookout is commented out below. But what we need to do is check the hard code and then if the transformation isn't found in the hard code then we need to search the lookup tables for the match. An example of one column is listed below. We need something like if not found in the hard code transformation search the tables. SQL SERVER 2008R

...

ANSWER

Answered 2018-Sep-19 at 20:58

Use this (abbreviated for clarity) code:

Source https://stackoverflow.com/questions/52194748

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install CLDA

You can download it from GitHub.
You can use CLDA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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