KNN-Classifier | K Nearest Neighbors classifier from scratch for image | Machine Learning library

by tarunkolla Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | KNN-Classifier Summary

KNN-Classifier is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. KNN-Classifier has no bugs, it has no vulnerabilities and it has low support. However KNN-Classifier build file is not available. You can download it from GitHub.

K Nearest Neighbors classifier from scratch for image classification using MNIST Data Set.

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KNN-Classifier has a low active ecosystem.

It has 8 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

KNN-Classifier has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KNN-Classifier is current.

Quality

KNN-Classifier has 0 bugs and 0 code smells.

Security

KNN-Classifier has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

KNN-Classifier code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

KNN-Classifier 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.

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KNN-Classifier releases are not available. You will need to build from source code and install.

KNN-Classifier has no build file. You will be need to create the build yourself to build the component from source.

It has 93 lines of code, 1 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

KNN classifier

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KNN-Classifier Key Features

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KNN-Classifier Examples and Code Snippets

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Community Discussions

Trending Discussions on KNN-Classifier

Use Image URL to train Tensorflowjs program

Getting ImageData/HTMLImageElement/HTMLCanvasElement object from image url

is this memory leak on iOS / Android

Incorrect labels in confusion matrix

Digit Recognition using KNN

Vue and Tensorflow: Save classifier examples to localstorage

QUESTION

Use Image URL to train Tensorflowjs program

Asked 2021-Sep-08 at 11:27

I'm trying to use images off the internet to try and train my network. I'm using an Image() object to create the images and pass them to tensorflow. According to my knowledge, Image() returns a HTMLImageElement, however, I'm still getting the following error:

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ANSWER

Answered 2021-Sep-08 at 11:27

Seems like an oversight by TFJS team so Image type is not recognized. do this instead:

Source https://stackoverflow.com/questions/69060563

QUESTION

Getting ImageData/HTMLImageElement/HTMLCanvasElement object from image url

Asked 2021-Sep-05 at 11:19

I'm trying to develop a program that classifies images using tensorflow and knn-classifier. However, in order to train the program, I need to get images as either ImageData, HTMLImageElement or HTMLCanvasElement.

Hence, I'm looking for a way to get one of these objects simply from the image url (e.g. "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b6/Image_created_with_a_mobile_phone.png/1200px-Image_created_with_a_mobile_phone.png")

It may be worth mentioning that I'm using nodejs for development. I've attached some code below to help explain what I'm trying to achieve.

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ANSWER

Answered 2021-Sep-05 at 11:19

The tensor has to be created once the image is loaded.

Source https://stackoverflow.com/questions/69054304

QUESTION

is this memory leak on iOS / Android

Asked 2020-Dec-02 at 06:03

https://i.stack.imgur.com/HBPG7.png

so everytime i trained a model, numTensors is increasing, im just wondering if this is bad or not ? and when i close the apps, and start load the model and trained new model, it keeps increasing is it bad when i got so many model ? and how to fix this ?

I am using knn-classifier to addExample

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ANSWER

Answered 2020-Dec-02 at 05:27

Yes you would have to dispose of the tensors after making predictions on them otherwise the tensors will build up and cause a memory leak. You can use tf.tidy() for this.

The tensor is getting disposed but the value disposed by collectData() is returned instead. You can make the function passed as argument to tf.tidy() not return any Tensor:

Source https://stackoverflow.com/questions/65101059

QUESTION

Incorrect labels in confusion matrix

Asked 2020-May-14 at 14:06

I have tried to create a confusion matrix on a knn-classifier in python, but the labeled classes are wrong.

The classes attribute of the dataset is 2 (for benign) and 4 (for malignant), but when I plot the confusion matrix, all labels are 2. The code I use is:

Data source: http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29

KNN classifier on Breast Cancer Wisconsin (Diagnostic) Data Set from UCI:

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ANSWER

Answered 2020-May-14 at 08:11

The problem is that you're specifying the display_labels argument with Y, where it should just be the target names used for plotting. Now it's just using the two first values that appear in Y, which happen to be 2, 2. Note too that, as mentioned in the docs, the displayed labels will be the same as specified in labels if it is provided, so you just need:

Source https://stackoverflow.com/questions/61791993

QUESTION

Digit Recognition using KNN

Asked 2020-May-11 at 07:11

I'm a newbie to this machine learning concepts! I've made a model and trained it to an accuracy of 98% using KNN-Classifier, but I'm unable to test the model using an image as the input. Each datapoint contains an equivalent of 8X8 image of a digit. When I convert this into a numpy array , It gives a me list of integers between 0.0 to 16.0 (dtype = float64). But the problem , I'm unable to break down the input image into the dateset's corresponding image. The following is the executed in CMD prompt , Python version - 3x

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ANSWER

Answered 2020-May-11 at 07:07

With the information you have provided it is impossible to know what is wrong. Also, 0.0 and 16.0 are not integers, they are floats. Before training ML algorithm it is a good idea to normalize the images to a maximum of 1.0 like so numpy_Image = numpy_Image/np.max(numpy_Image) . For KNN (and almost everything else) training and test images have to have the same size. "But the problem , I'm unable to break down the input image into the dateset's corresponding image." - post the code and the error message you get in terminal, please.

Source https://stackoverflow.com/questions/61723925

QUESTION

Vue and Tensorflow: Save classifier examples to localstorage

Asked 2020-Jan-22 at 09:47

I'm using @tensorflow-models/knn-classifier to classify my models and @tensorflow-models/mobilenet to study new models.

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ANSWER

Answered 2020-Jan-22 at 09:47

So, after small research I managed to save and load data with the next methods:

Source https://stackoverflow.com/questions/59855892

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

Vulnerabilities

No vulnerabilities reported

Install KNN-Classifier

You can download it from GitHub.
You can use KNN-Classifier 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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