mlmpy | Machine Learning Meets Python : A tutorial of NumPy / SciPy | Machine Learning library

by tkamishima Python Version: Current License: No License

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

kandi X-RAY | mlmpy Summary

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

機械学習の Python との出会い (Machine Learning Meets Python).

Support

Quality

Security

License

Reuse

Support

mlmpy has a low active ecosystem.

It has 106 star(s) with 34 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of mlmpy is current.

Quality

mlmpy has 0 bugs and 0 code smells.

Security

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

mlmpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mlmpy 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

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

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

mlmpy saves you 168 person hours of effort in developing the same functionality from scratch.

It has 417 lines of code, 26 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Compute the gradient of the loss function
Sigmoid function
Calculate the model
Fit the model
Predict class for each feature
Computes the log loss function for the model
Return the predicted probabilities for the data

Get all kandi verified functions for this library.

mlmpy Key Features

No Key Features are available at this moment for mlmpy.

mlmpy Examples and Code Snippets

No Code Snippets are available at this moment for mlmpy.

Community Discussions

Trending Discussions on mlmpy

Inconsistent figure note line spacing rendering pdf in Bookdown

QUESTION

Inconsistent figure note line spacing rendering pdf in Bookdown

Asked 2018-Nov-13 at 11:46

I am trying to insert a figure note to render in pdf from the following code chunk:

...

ANSWER

Answered 2018-Nov-13 at 11:46

I solved the problem by changing the chunk option from fig.pos="H" to fig.pos="!h"

Source https://stackoverflow.com/questions/53248738

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

Vulnerabilities

No vulnerabilities reported

Install mlmpy

You can download it from GitHub.
You can use mlmpy 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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