Geras | Accuracy comparison of a Bayesian Network | Machine Learning library

by eera-l Python Version: Current License: MIT

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

kandi X-RAY | Geras Summary

Geras is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Keras, Neural Network applications. Geras has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Geras build file is not available. You can download it from GitHub.

Accuracy comparison of a Bayesian Network, a Dense Neural Network and an LSTM in detecting Alzheimer's symptoms on the Pitt Corpus:

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Quality

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License

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Support

Geras has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Geras has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Geras is current.

Quality

Geras has no bugs reported.

Security

Geras has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Geras is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Geras releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

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

Split a dataframe into examples
Creates a LSTM model
Construct a feature layer
Store padded texts
Load data from a pickle file
Evaluate the model
Simplify prediction
Embeds the text
Evaluate SEN spec
Plots the training data
Normalize the model
Performs the kfold validation
Evaluate accuracy
Load embeddings from a file
Train the LSTM model
Reads csv from csv file
Splits a dataframe into two lists
Read dataset

Get all kandi verified functions for this library.

Geras Key Features

No Key Features are available at this moment for Geras.

Geras Examples and Code Snippets

No Code Snippets are available at this moment for Geras.

Community Discussions

Trending Discussions on Geras

Array_rand no duplicate then you refresh page

QUESTION

Array_rand no duplicate then you refresh page

Asked 2018-Jun-21 at 01:54

How to do array_rand with no duplicates then you refresh page?

What I mean is when your form submit, this question is deleted, when refresh the page it's not seen.

...

ANSWER

Answered 2018-Feb-05 at 21:54

Use a session to persist across pages. You only want to define $_SESSION['arrQuote'] in the first form and add it to the session. You can then get and remove one element on this page and the second page etc:

Source https://stackoverflow.com/questions/48631892

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

Vulnerabilities

No vulnerabilities reported

Install Geras

You can download it from GitHub.
You can use Geras 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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