prediction-io | PredictionIO Library | Machine Learning library
kandi X-RAY | prediction-io Summary
kandi X-RAY | prediction-io Summary
prediction-io is a PHP library typically used in Artificial Intelligence, Machine Learning applications. prediction-io has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
The Prediction IO library provides a client which offers easy access to a PredictionIo recommendation engine. PredictionIo is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. Through a small set of simple calls, all server functionality is exposed to your application. You can add users and items, register actions between these users and items and retrieve recommendations deduced from this information by any PredictionIo recommendation engine. Applications range from showing recommended products in a web shop to discovering relevant experts in a social collaboration network.
The Prediction IO library provides a client which offers easy access to a PredictionIo recommendation engine. PredictionIo is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. Through a small set of simple calls, all server functionality is exposed to your application. You can add users and items, register actions between these users and items and retrieve recommendations deduced from this information by any PredictionIo recommendation engine. Applications range from showing recommended products in a web shop to discovering relevant experts in a social collaboration network.
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Support
prediction-io has a low active ecosystem.
It has 16 star(s) with 8 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of prediction-io is current.
Quality
prediction-io has 0 bugs and 0 code smells.
Security
prediction-io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
prediction-io code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
prediction-io 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
prediction-io releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
prediction-io saves you 105 person hours of effort in developing the same functionality from scratch.
It has 267 lines of code, 36 functions and 6 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed prediction-io and discovered the below as its top functions. This is intended to give you an instant insight into prediction-io implemented functionality, and help decide if they suit your requirements.
- Returns an array representation of the event .
- Set the target entity .
- Create a custom event
- Check event .
- Get similar items .
- Create a new EntityEvent
- Get recommendations for a user .
- Returns true if the supports target entity .
Get all kandi verified functions for this library.
prediction-io Key Features
No Key Features are available at this moment for prediction-io.
prediction-io Examples and Code Snippets
No Code Snippets are available at this moment for prediction-io.
Community Discussions
Trending Discussions on prediction-io
QUESTION
deploy predictionio with spark standalone cluster
Asked 2018-May-22 at 10:13
I use the official Recommendation as a test. I did these steps successfully:
- event server installed in a docker container.(successfully)
- config eventdata, metadata and all things are stored in mysql.(successfully)
- train & deploy server in another docker container.(successfully)
- spark standalone cluster installed in another container.(successfully)
- create new app.(successfully)
- import enough eventdata.(successfully)
When I train and deploy as follows, it's ok as the docs described :
...ANSWER
Answered 2018-May-22 at 10:13step-deploy depends on step-train's datas written at file://tmp or hdfs://tmp.
QUESTION
HDFS - HBase replication not working
Asked 2017-Aug-11 at 10:03
ANSWER
Answered 2017-Aug-11 at 10:03By default HBase will pick replication factor as 3. To specify replication factor add following property in hbase-site.xml
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install prediction-io
Use Composer to install the library.
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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