an-ann | 简陋的深度学习库 | Machine Learning library

by sxysxy C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | an-ann Summary

an-ann is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Keras, Numpy applications. an-ann has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

It is just an ANN. 简陋的深度学习库

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Support

an-ann has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

an-ann has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of an-ann is current.

Quality

an-ann has no bugs reported.

Security

an-ann has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

an-ann 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

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

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an-ann Key Features

No Key Features are available at this moment for an-ann.

an-ann Examples and Code Snippets

No Code Snippets are available at this moment for an-ann.

Community Discussions

Trending Discussions on an-ann

R version 3.6 and 4.0 compatibility?

Transforming a list of strings into a data.frame in a tidy manner

gridsearchCV error while using one hot encoder

QUESTION

R version 3.6 and 4.0 compatibility?

Asked 2020-Oct-23 at 09:36

I am doing the following udemy course:

https://www.udemy.com/course/neural-network-understanding-and-building-an-ann-in-r/

and the instructor installs R version 3.5.7 saying 'download the latest version' but while following along, I found that version 4.0.2 is out and I am wondering if there are any compatibility issues between the 2 versions like python 3 and 2.

Which version should I download if I wanted to keep up with the course ?

and can I have multiple versions installed on my Linux machine and alternate between them ?

Also how much of a difference is there between the 2 versions?

Edit: Ok thanks everyone, ill install 4.0.2 and if I face any issues ill install 3.5.7 too. Also I found the course for free on a subreddit called freeudemycoupons if anyone is interested

https://www.reddit.com/r/FreeUdemyCoupons

...

ANSWER

Answered 2020-Jun-27 at 05:19

This is very interesting question! I think that for online courses it's usually OK to use a slightly newer version of R. It is very unlikely (however, of course, not impossible) that an online course would use some feature that could be undergoing significant changes at that time. If you want to be sure about all new features and changed behavior in different R versions, you can read the official changelog.

Of course, one should be very careful when updating R in production, especially changing major version. It requires a lot of testing that everything runs correctly and you get proper results. But in online course you will probably get similar results and you can go on. And if you still get stuck, you can always ask here at Stack Overflow (or Stack Exchange: Data Science, AI) at no cost.

And for installing multiple versions of R on Linux you can use RStudio's instructions, which are pretty useful for various distributions and RStudio supports multiple versions and makes switching quite easy.

These threads could be useful:

Source https://stackoverflow.com/questions/62601711

QUESTION

Transforming a list of strings into a data.frame in a tidy manner

Asked 2020-May-08 at 16:57

I'm wondering if anyone has any tips/tricks on how to handle transforming data, like what is below:

...

ANSWER

Answered 2020-May-05 at 05:00

One approach might be to split on more than 1 space or on the start of the string followed by only spaces or number.

Source https://stackoverflow.com/questions/61605707

QUESTION

gridsearchCV error while using one hot encoder

Asked 2019-Oct-09 at 12:02

i am getting this error while using gridsearch cv with one hot encoding: "Classification metrics can't handle a mix of multilabel-indicator and multiclass targets"

My y_train shape is:(64345, 37) and my X_train shape is:(64345, 14).

I'm not able to figure out where did i went wrong.Any guidance/help would be greatly appreciated.

It executes properly for my model without using gridsearchCV with fixed parameters. Without using one hot encoding i am getting index out of bound error. link for that post is here: I was training an Ann machine learning model using GridSearchCV and got stuck with an IndexError in gridSearchCV

here is how i split the dataset:

...

ANSWER

Answered 2019-Oct-09 at 12:02

The error message is clear.

Here, you have y_train:(64345, 37) which means that each sample is multi-labeled. You have 37 labels for each sample.

The classification metrics of sklearn cannot handle multi-labeled target variables.

You should look for a way to get y_train:(64345, 1) before applying the GridSearch()

For models that can deal with multilabel problems red this:

https://scikit-learn.org/stable/modules/multiclass.html

Source https://stackoverflow.com/questions/58234849

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

Vulnerabilities

No vulnerabilities reported

Install an-ann

You can download it from GitHub.

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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