kaggle-digit-recognizer | Python digit recognizer starter comptetition | Machine Learning library
kandi X-RAY | kaggle-digit-recognizer Summary
kandi X-RAY | kaggle-digit-recognizer Summary
kaggle-digit-recognizer is a Python library typically used in Artificial Intelligence, Machine Learning applications. kaggle-digit-recognizer has no bugs, it has no vulnerabilities and it has low support. However kaggle-digit-recognizer build file is not available. You can download it from GitHub.
Code for Python digit recognizer starter comptetition. benchmark kNN k=10, cover_tree gives 0.96557 accuracy benchmark rf 1000 trees gives 0.96829 accuracy. knnpy-knn/experiment2 gives same accuracy as benchmark, but if we reduce dimmensions with PCA to lets say ~100 components kNN performs better than rf benchmark. plotted explained variance of PCA helps to choose optimal component count to keep 90% variance.
Code for Python digit recognizer starter comptetition. benchmark kNN k=10, cover_tree gives 0.96557 accuracy benchmark rf 1000 trees gives 0.96829 accuracy. knnpy-knn/experiment2 gives same accuracy as benchmark, but if we reduce dimmensions with PCA to lets say ~100 components kNN performs better than rf benchmark. plotted explained variance of PCA helps to choose optimal component count to keep 90% variance.
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kaggle-digit-recognizer has a low active ecosystem.
It has 17 star(s) with 25 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
kaggle-digit-recognizer has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of kaggle-digit-recognizer is current.
Quality
kaggle-digit-recognizer has 0 bugs and 0 code smells.
Security
kaggle-digit-recognizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
kaggle-digit-recognizer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
kaggle-digit-recognizer 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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kaggle-digit-recognizer releases are not available. You will need to build from source code and install.
kaggle-digit-recognizer has no build file. You will be need to create the build yourself to build the component from source.
kaggle-digit-recognizer saves you 86 person hours of effort in developing the same functionality from scratch.
It has 220 lines of code, 13 functions and 6 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed kaggle-digit-recognizer and discovered the below as its top functions. This is intended to give you an instant insight into kaggle-digit-recognizer implemented functionality, and help decide if they suit your requirements.
- Perform classification on training set .
- Do the work of the work .
- Read data from CSV file .
- Runs the training set .
- Compute the kn .
- Returns the majority vote for a given knn .
- Find the majority of a knn .
- Write predictions to a csv file .
- Euclidean distance between two vectors .
Get all kandi verified functions for this library.
kaggle-digit-recognizer Key Features
No Key Features are available at this moment for kaggle-digit-recognizer.
kaggle-digit-recognizer Examples and Code Snippets
No Code Snippets are available at this moment for kaggle-digit-recognizer.
Community Discussions
Trending Discussions on kaggle-digit-recognizer
QUESTION
Keras Tensorflow Validation Accuracy different when using Subclass Syntax vs Functional or Sequential
Asked 2020-Feb-22 at 08:51
I have reimplemented the Keras MINST CNN example using Sequential, Functional and SubClass syntax.
- https://keras.io/examples/mnist_cnn/
- https://github.com/JamesMcGuigan/kaggle-digit-recognizer/tree/master/src/keras/examples
Everything compiles and runs fine, but I have noticed a major difference in validation accuracy when using SubClass syntax (35%) compared to Sequential/Functional syntax (75%). The model architecture should be the same, so this is confusing me.
...ANSWER
Answered 2020-Feb-22 at 08:51I think in ClassCNN last layer activation is 'relu' which should be 'softmax' as is the case with other models... It is just a human mistake ..... Thankyou...
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install kaggle-digit-recognizer
You can download it from GitHub.
You can use kaggle-digit-recognizer 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 kaggle-digit-recognizer 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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