personalize-kickstart | Amazon Personalize based recommendation engine reference | Application Framework library

by cremich Jupyter Notebook Version: v0.3.0 License: No License

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

kandi X-RAY | personalize-kickstart Summary

personalize-kickstart is a Jupyter Notebook library typically used in Server, Application Framework applications. personalize-kickstart has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

As part of the AI Services, Amazon Personalize is a managed service to provide personalization and recommendations based on the same technology used at Amazon.com. Using Amazon Personalize you will get convenient APIs you can use to solve a specific personalization and recommendation business problem. Amazon Personalize is a fully managed service. It generates highly relevant recommendations using deep learning techniques. It build custom and private ML models using your own data.

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Support

personalize-kickstart has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 9 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of personalize-kickstart is v0.3.0

Quality

personalize-kickstart has no bugs reported.

Security

personalize-kickstart has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

personalize-kickstart does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

personalize-kickstart releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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personalize-kickstart Key Features

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personalize-kickstart Examples and Code Snippets

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Community Discussions

Trending Discussions on Application Framework

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

QUESTION

What is meant by required-api: param name=”#target” in config.xml file of AGL widgets?

Asked 2020-Mar-06 at 09:53

I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below

https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html

This is the sample config.xml file

...

ANSWER

Answered 2020-Mar-06 at 09:48

I figured out why we need this

required-api: param name="#target"

OPTIONAL(not compulsory)

It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.

Source https://stackoverflow.com/questions/60561230

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

Vulnerabilities

No vulnerabilities reported

Install personalize-kickstart

In order to install the backend on your local machine, please ensure to have the following tools available:.
AWS CLI v2
node.js v14 (LTS)
npm v6 (bundled with node.js)
First install the required dependencies using npm. This will install everything you need to deploy the backend and make changes to the code. It will also include all required dev-dependencies like ESLint, CommitLint or Jest. Please also follow the "Getting started" instructions on the official AWS CDK documentation to configure your local workstation accordingly. Run the following command to verify correct installation and print the version number of the AWS CDK. If you do not want to install the CDK globally, you can also execute it via npx like shown in the following examples. Once you have installed the AWS CDK successfully, you can bootstrap your AWS Account by running.

Support

Contributions, issues and feature requests are welcome!. Feel free to check issues page for open issues or create one for feature requests or if you have general questions. Be also sure to review our contributing guidelines and code of conduct.

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