Deep-Chemometrics | Using deep learning approaches | Machine Learning library

by EBjerrum Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Deep-Chemometrics Summary

Deep-Chemometrics is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras applications. Deep-Chemometrics has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The repository contains two examples of using convolutional neural networks to model spectroscopical data with data augmentation or EMSC as means to handle the variation in baseline.

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Support

Deep-Chemometrics has a low active ecosystem.

It has 36 star(s) with 14 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Deep-Chemometrics is current.

Quality

Deep-Chemometrics has 0 bugs and 0 code smells.

Security

Deep-Chemometrics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Deep-Chemometrics code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Deep-Chemometrics 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

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

It has 117 lines of code, 16 functions and 1 files.

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

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Deep-Chemometrics Key Features

No Key Features are available at this moment for Deep-Chemometrics.

Deep-Chemometrics Examples and Code Snippets

No Code Snippets are available at this moment for Deep-Chemometrics.

Community Discussions

Trending Discussions on Deep-Chemometrics

How can I correct the follow error ' AttributeError: 'dict_keys' object has no attribute 'remove' '?

QUESTION

How can I correct the follow error ' AttributeError: 'dict_keys' object has no attribute 'remove' '?

Asked 2020-Jan-23 at 20:24

I was trying to follow the example of "https://github.com/EBjerrum/Deep-Chemometrics/blob/master/Deep_Chemometrics_with_data_augmentation.py.ipynb", but when executing the first part of the code I immediately get the error.

...

ANSWER

Answered 2020-Jan-23 at 20:24

It seems like changing keys.remove(key) to del keys[key] worked for them. (From a comment)

You are getting this problem when you load the matlab file and the code expecting a dict where it doesn't find a dict.

The specific error is 'dict_keys' object has no attribute 'remove'. That's how I know that python isn't finding a dict.

Your code:

Source https://stackoverflow.com/questions/59884224

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

Vulnerabilities

No vulnerabilities reported

Install Deep-Chemometrics

You can download it from GitHub.

Support

Commercial support discontinued. Wildcard pharmaceutical consulting: https://www.wildcardconsulting.dk/useful-information/wildcard-pharmaceutical-consulting-will-be-closed/.

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