classifai | Supercharge WordPress Content Workflows and Engagement | Machine Learning library
kandi X-RAY | classifai Summary
kandi X-RAY | classifai Summary
classifai is a PHP library typically used in Artificial Intelligence, Machine Learning applications. classifai has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Enhance your WordPress content with Artificial Intelligence and Machine Learning services.
Enhance your WordPress content with Artificial Intelligence and Machine Learning services.
Support
Quality
Security
License
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Support
classifai has a low active ecosystem.
It has 439 star(s) with 44 fork(s). There are 81 watchers for this library.
It had no major release in the last 12 months.
There are 48 open issues and 169 have been closed. On average issues are closed in 236 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of classifai is 2.2.1
Quality
classifai has 0 bugs and 0 code smells.
Security
classifai has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
classifai code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
classifai is licensed under the GPL-2.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
classifai releases are available to install and integrate.
Installation instructions are available. Examples and code snippets are not available.
classifai saves you 1681 person hours of effort in developing the same functionality from scratch.
It has 4032 lines of code, 279 functions and 35 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed classifai and discovered the below as its top functions. This is intended to give you an instant insight into classifai implemented functionality, and help decide if they suit your requirements.
- Parses lines .
- Generate OCR data .
- Get thumbnail URL .
- Run the read operation .
- Crop images .
- Sanitize user settings .
- Adds the resize button to the media modal .
- Process REST endpoint .
- Add debug information .
- Link entities to a post .
Get all kandi verified functions for this library.
classifai Key Features
No Key Features are available at this moment for classifai.
classifai Examples and Code Snippets
No Code Snippets are available at this moment for classifai.
Community Discussions
Trending Discussions on classifai
QUESTION
classifier.__proto__ = LogisticRegressionClassifier.prototype
Asked 2021-Jan-08 at 14:22
Creating an endpoint which respond with array of classifications based several ML models based on NaturalJS. I have two questions:
- how to resolve this err,
- how to force it to be sync.
The err and console.log:
...ANSWER
Answered 2021-Jan-08 at 14:22This issue occurred because the second file contains internal format issue (not validated JSON)
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install classifai
git clone https://github.com/10up/classifai.git && cd classifai
composer install && npm install && npm run build
Register for an IBM Cloud account or sign into your existing one.
Check for an email from IBM Cloud and click the Confirm Account link.
Log into your account (accepting the privacy policy) and create a new Natural Language Understanding Resource if you do not already have one. It may take a minute for your account to fully populate with the default resource group to use.
Click Manage in the left hand menu, then Show credentials on the Manage page to view the credentials for this resource.
In the API URL field enter the URL
Enter your API Key in the API Key field.
In the API URL field enter the URL
Enter the username value into the API Username.
Enter the password into the API Key field.
Choose which public post types to classify when saved.
Choose whether to assign category, keyword, entity, and concept as well as the thresholds and taxonomies used for each.
Note that Computer Vision can analyze and crop images that meet the following requirements:.
The image must be presented in JPEG, PNG, GIF, or BMP format
The file size of the image must be less than 4 megabytes (MB)
The dimensions of the image must be greater than 50 x 50 pixels
The file must be externally accessible via URL (i.e. local sites and setups that block direct file access will not work out of the box)
Register for a Microsoft Azure account or sign into your existing one.
Log into your account and create a new Computer Vision Service if you do not already have one. It may take a minute for your account to fully populate with the default resource group to use.
Click Keys and Endpoint in the left hand Resource Management menu to view the Endpoint URL for this resource.
Click the copy icon next to KEY 1 to copy the API Key credential for this resource.
In the Endpoint URL field, enter your API endpoint.
In the API Key field, enter your KEY 1.
Choose to Automatically Caption Images, Automatically Tag Images, Enable smart cropping, and/or Enable OCR.
For features that have thresholds or taxonomy settings, set those as well.
composer install && npm install && npm run build
Register for an IBM Cloud account or sign into your existing one.
Check for an email from IBM Cloud and click the Confirm Account link.
Log into your account (accepting the privacy policy) and create a new Natural Language Understanding Resource if you do not already have one. It may take a minute for your account to fully populate with the default resource group to use.
Click Manage in the left hand menu, then Show credentials on the Manage page to view the credentials for this resource.
In the API URL field enter the URL
Enter your API Key in the API Key field.
In the API URL field enter the URL
Enter the username value into the API Username.
Enter the password into the API Key field.
Choose which public post types to classify when saved.
Choose whether to assign category, keyword, entity, and concept as well as the thresholds and taxonomies used for each.
Note that Computer Vision can analyze and crop images that meet the following requirements:.
The image must be presented in JPEG, PNG, GIF, or BMP format
The file size of the image must be less than 4 megabytes (MB)
The dimensions of the image must be greater than 50 x 50 pixels
The file must be externally accessible via URL (i.e. local sites and setups that block direct file access will not work out of the box)
Register for a Microsoft Azure account or sign into your existing one.
Log into your account and create a new Computer Vision Service if you do not already have one. It may take a minute for your account to fully populate with the default resource group to use.
Click Keys and Endpoint in the left hand Resource Management menu to view the Endpoint URL for this resource.
Click the copy icon next to KEY 1 to copy the API Key credential for this resource.
In the Endpoint URL field, enter your API endpoint.
In the API Key field, enter your KEY 1.
Choose to Automatically Caption Images, Automatically Tag Images, Enable smart cropping, and/or Enable OCR.
For features that have thresholds or taxonomy settings, set those as well.
Support
Active: 10up is actively working on this, and we expect to continue work for the foreseeable future including keeping tested up to the most recent version of WordPress. Bug reports, feature requests, questions, and pull requests are welcome.
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