DKN | Deep Knowledge-Aware Network | Recommender System library

by yusanshi Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | DKN Summary

DKN is a Python library typically used in Artificial Intelligence, Recommender System, Deep Learning, Pytorch applications. DKN has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

An implementation of DKN (Deep Knowledge-Aware Network for News Recommendation) in PyTorch.

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Quality

Security

License

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Support

DKN has a low active ecosystem.

It has 24 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of DKN is current.

Quality

DKN has 0 bugs and 0 code smells.

Security

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

DKN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DKN 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 702 lines of code, 25 functions and 9 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed DKN and discovered the below as its top functions. This is intended to give you an instant insight into DKN implemented functionality, and help decide if they suit your requirements.

Train a training dataset
Validate a given model
Returns the path to the latest checkpoint
Return time since epoch since timestamp
Compute the DCG score
Compute the MRR score
Calculate DCG score
Parse a news file
Initialize the inference dataset
Cleanup dataset
Compute ROCA score
Balance two rows
Transforms tsv to json
Transform entity embedding

Get all kandi verified functions for this library.

DKN Key Features

No Key Features are available at this moment for DKN.

DKN Examples and Code Snippets

No Code Snippets are available at this moment for DKN.

Community Discussions

Trending Discussions on DKN

Create a table from unrelated sub-queries

Python : Drop rows of a dataframe with two specifics conditions and keep the rest

Python : Dropping specific rows in a dataframe and keep a specif one

Python : Remodelling a dataframe and regrouping data from a specific column with predefined rows

Python : Remodeling the presentation data from a pandas Dataframe / group duplicates

QUESTION

Create a table from unrelated sub-queries

Asked 2021-Aug-24 at 15:43

I am working in MySQL 5.7 (so don't have row_number and CTE).

I have the following structure:

...

ANSWER

Answered 2021-Aug-24 at 15:43

You're bound to get NULLs if you insist on returning all these distinct lists in a single result set, unless each column has exactly the same number of distinct values.

The problem is that you're treating a relational query result set as if it's a spreadsheet. It's not. The columns in a given row are related. That's why it's a relational database.

If you just want to get the distinct values for each attribute, it's much simpler and more correct from a relational standpoint to do separate queries:

Source https://stackoverflow.com/questions/68907514

QUESTION

Python : Drop rows of a dataframe with two specifics conditions and keep the rest

Asked 2020-Nov-08 at 02:49

Let's say that I have this dataframe :

...

ANSWER

Answered 2020-Nov-08 at 02:49

IIUC, try this:

Source https://stackoverflow.com/questions/64726936

QUESTION

Python : Dropping specific rows in a dataframe and keep a specif one

Asked 2020-Oct-29 at 20:55

Let's say that I have this dataframe

...

ANSWER

Answered 2020-Oct-29 at 20:55

You can create a mask using a lambda function that searches for the string 'info' in the Name column and the value in the Group Column.

Source https://stackoverflow.com/questions/64597299

QUESTION

Python : Remodelling a dataframe and regrouping data from a specific column with predefined rows

Asked 2020-Oct-28 at 22:46

Let's say that I have this dataframe with four columns : "Name", "Value", "Ccy" and "Group" :

...

ANSWER

Answered 2020-Oct-28 at 22:46

You can use the following. See comments in code for each step:

Source https://stackoverflow.com/questions/64580005

QUESTION

Python : Remodeling the presentation data from a pandas Dataframe / group duplicates

Asked 2020-Oct-27 at 12:26

Let's say that I have this dataframe with three column : "Name", "Account" and "Ccy".

...

ANSWER

Answered 2020-Oct-27 at 12:26

Use GroupBy.cumcount for counter, reshape by DataFrame.set_index and DataFrame.unstack and last flatten columns names:

Source https://stackoverflow.com/questions/64553392

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

Vulnerabilities

No vulnerabilities reported

Install DKN

You can visualize the training loss and accuracy with TensorBoard. Note the metrics in validation will differ greatly with final result on evaluation set. You should use it for reference only.

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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