ML-and-DM-in-action | learning machine learning and data mining
kandi X-RAY | ML-and-DM-in-action Summary
kandi X-RAY | ML-and-DM-in-action Summary
ML-and-DM-in-action is a Python library. ML-and-DM-in-action has no vulnerabilities, it has a Permissive License and it has low support. However ML-and-DM-in-action has 3 bugs and it build file is not available. You can download it from GitHub.
After reading some papers from internet,I implement three algorithms including Average Hash, Discrete cosine transform and so on,which about how to identify the similar images,by Python ,Pillow and OpenCV. I also complete a program to find the face from picture and identify the simliar face base on the modal called Heer provided by OpenCV. This is another repository and you can find it following this link. I wrote a article about it to Segmentfault,but I wrote it in chinese.
After reading some papers from internet,I implement three algorithms including Average Hash, Discrete cosine transform and so on,which about how to identify the similar images,by Python ,Pillow and OpenCV. I also complete a program to find the face from picture and identify the simliar face base on the modal called Heer provided by OpenCV. This is another repository and you can find it following this link. I wrote a article about it to Segmentfault,but I wrote it in chinese.
Support
Quality
Security
License
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Support
ML-and-DM-in-action has a low active ecosystem.
It has 322 star(s) with 141 fork(s). There are 46 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 2 have been closed. On average issues are closed in 148 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ML-and-DM-in-action is current.
Quality
ML-and-DM-in-action has 3 bugs (0 blocker, 0 critical, 1 major, 2 minor) and 318 code smells.
Security
ML-and-DM-in-action has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
ML-and-DM-in-action code analysis shows 0 unresolved vulnerabilities.
There are 6 security hotspots that need review.
License
ML-and-DM-in-action 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.
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ML-and-DM-in-action releases are not available. You will need to build from source code and install.
ML-and-DM-in-action has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
ML-and-DM-in-action saves you 942 person hours of effort in developing the same functionality from scratch.
It has 2147 lines of code, 138 functions and 24 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed ML-and-DM-in-action and discovered the below as its top functions. This is intended to give you an instant insight into ML-and-DM-in-action implemented functionality, and help decide if they suit your requirements.
- Fit the model to the dataSet
- Train the heart algorithm
- Get all comments
- Compute the distance between two data points
- Estimate the kernel from data set
- Evaluate the kernel function
- Fit the classifier
- Subclassify the input
- Loop through the thread
- Convert to list
- Clear bad values
- Return a list of rules that match the filter
- Inner loop
- Clears the number of values
- Creates a picture
- Extract runtime information from a JSON list
- Calculate runtime and star score from a JSON response
- Draw a picture
- Classify the tree
- Function to create a picture
- Extract the number of items from a record
- Fit the model
- Classify the k - means classification
- Get the number of actor and type
- The answer to ai color
- Given a list of json_list returns a dictionary of values that match the key
Get all kandi verified functions for this library.
ML-and-DM-in-action Key Features
No Key Features are available at this moment for ML-and-DM-in-action.
ML-and-DM-in-action Examples and Code Snippets
No Code Snippets are available at this moment for ML-and-DM-in-action.
Community Discussions
No Community Discussions are available at this moment for ML-and-DM-in-action.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ML-and-DM-in-action
You can download it from GitHub.
You can use ML-and-DM-in-action 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.
You can use ML-and-DM-in-action 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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