kaggle-imet-2019

by lopuhin Python Version: Current License: No License

X-Ray Key Features Code Snippets(1)Community Discussions Vulnerabilities Install Support

kandi X-RAY | kaggle-imet-2019 Summary

kaggle-imet-2019 is a Python library. kaggle-imet-2019 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

kaggle-imet-2019

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Quality

Security

License

Reuse

Support

kaggle-imet-2019 has a low active ecosystem.

It has 88 star(s) with 25 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 3 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 kaggle-imet-2019 is current.

Quality

kaggle-imet-2019 has 0 bugs and 0 code smells.

Security

kaggle-imet-2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kaggle-imet-2019 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kaggle-imet-2019 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.

Reuse

kaggle-imet-2019 releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

kaggle-imet-2019 saves you 278 person hours of effort in developing the same functionality from scratch.

It has 672 lines of code, 43 functions and 11 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed kaggle-imet-2019 and discovered the below as its top functions. This is intended to give you an instant insight into kaggle-imet-2019 implemented functionality, and help decide if they suit your requirements.

Train the model
Reduce loss
Validate the given model
Perform binarization on probabilities
Make a mask from argsort
Write event to log
Load a model from file
Build the script
Encodes a file
Plot paths
Smooth the mean value
Evaluate a given model on the given dataframe
Return the mean of a pandas DataFrame
Make a dataframe of n_folds
Validate the model
Run a command
Return a list of PNG images

Get all kandi verified functions for this library.

kaggle-imet-2019 Key Features

No Key Features are available at this moment for kaggle-imet-2019.

kaggle-imet-2019 Examples and Code Snippets

Runs kaggle .

python

Lines of Code : 14

License : No License

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def main():
    Xtrain, Ytrain, Xtest, Ytest = getKaggleMNIST()

    # same as autoencoder_tf.py
    Xtrain = Xtrain.astype(np.float32)
    Xtest = Xtest.astype(np.float32)
    _, D = Xtrain.shape
    K = len(set(Ytrain))
    dnn = DNN(D, [1000, 750,

Community Discussions

No Community Discussions are available at this moment for kaggle-imet-2019.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install kaggle-imet-2019

You can download it from GitHub.
You can use kaggle-imet-2019 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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