ml-learn | This project is used for implementing basic algorithm | Machine Learning library

by muyinanhai Python Version: Current License: No License

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

kandi X-RAY | ml-learn Summary

ml-learn is a Python library typically used in Artificial Intelligence, Machine Learning applications. ml-learn has no bugs, it has no vulnerabilities and it has low support. However ml-learn build file is not available. You can download it from GitHub.

This project is used for implementing basic algorithm and sharing some examples. If you find this project useful, please star and fork this project. Thank you.

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Quality

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Support

ml-learn has a low active ecosystem.

It has 5 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

ml-learn has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ml-learn is current.

Quality

ml-learn has no bugs reported.

Security

ml-learn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ml-learn 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

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

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

Fit the gradients of the model .
Gradient of the gradient descent function
Initialize solver .
Predict the feature .
Predict probabilistic probabilities .
Sigmoid function .

Get all kandi verified functions for this library.

ml-learn Key Features

No Key Features are available at this moment for ml-learn.

ml-learn Examples and Code Snippets

No Code Snippets are available at this moment for ml-learn.

Community Discussions

Trending Discussions on ml-learn

name 'get_default_graph' is not defined

QUESTION

name 'get_default_graph' is not defined

Asked 2020-Feb-07 at 21:59

I'm not being able to use model = Sequential() in my code. I'm running the code in jupyter notebook in an environment called ml-learn. I'm getting an error called name 'get_default_graph' is not defined.

...

ANSWER

Answered 2020-Feb-07 at 21:59

There were many issues with this question (at least for me). What I did to solve the issue was the following:

Install Anaconda from command line: go here and once download is complete, run bash ~/Downloads/Anaconda3-2019.10-MacOSX-x86_64.sh from terminal. Be sure to change the 2019.10 depending on the version you download.
Make sure conda is installed by typing in conda list or anything conda. -version.
If conda doesn't show up for you, then try restarting your terminal. If that doesn't work try eval “$(/home/msarahan/mc3_dummy/bin/conda shell.bash hook)”. Replace the directory with yours and then run conda init. If that doesn't work, run this: export PATH="/Users/myname/anaconda2/bin:$PATH".
Once you do conda init it will ask which shell. I'm using fish so I chose fish.
Then run conda create -n envName. Replace the envName with any enviornment name you like.
Activate the enviornment you created: conda activate envName.
Then open your favorite editor and choose the enviorment you just created.
If jupyter is not available for your editor (my case: Visual Studio Code), run conda install -c anaconda jupyter.
Install necessary packages in iTerm (my case) while the enviornment is activated by running: conda install keras and conda install tensorflow (my case).
Verify your installation by running: pip show keras and pip show tensorflow in your jupyter notebook (my case Visual Studio Code).

To sweeten my problem, I was facing with kernal unexpectedly dying down on me. Therefore, I shut my mac down and turned it on after a bit. Try that as well if you're still unable to fix an error like this (I bet we all leave our macs on sleep lol).

Source https://stackoverflow.com/questions/59918588

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

Vulnerabilities

No vulnerabilities reported

Install ml-learn

You can download it from GitHub.
You can use ml-learn 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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