PMLC-2014 | Lecture materials for Microsoft Practice | Awesome List library

by jakevdp Python Version: Current License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | PMLC-2014 Summary

PMLC-2014 is a Python library typically used in Awesome, Awesome List, Pytorch applications. PMLC-2014 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However PMLC-2014 build file is not available. You can download it from GitHub.

Lecture materials for Microsoft Practice of Machine Learning Conference, Oct 23-24 2014. This is a one-hour introductory tutorial to the scikit-learn package.

Support

Quality

Security

License

Reuse

Support

PMLC-2014 has a low active ecosystem.

It has 3 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

PMLC-2014 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PMLC-2014 is current.

Quality

PMLC-2014 has no bugs reported.

Security

PMLC-2014 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

PMLC-2014 is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

PMLC-2014 releases are not available. You will need to build from source code and install.

PMLC-2014 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed PMLC-2014 and discovered the below as its top functions. This is intended to give you an instant insight into PMLC-2014 implemented functionality, and help decide if they suit your requirements.

Create the supervised plot
Creates a base plot
Plots the separator
Plot a linear regression
Create an unsupervised plot

Get all kandi verified functions for this library.

PMLC-2014 Key Features

No Key Features are available at this moment for PMLC-2014.

PMLC-2014 Examples and Code Snippets

No Code Snippets are available at this moment for PMLC-2014.

Community Discussions

Trending Discussions on Awesome List

Is ESLint a Vim plugin?

R Extending each list level by new elements

QUESTION

Is ESLint a Vim plugin?

Asked 2022-Feb-12 at 01:35

Vim Awesome lists ESLint as a plugin: https://vimawesome.com/plugin/eslint. However, also on that page it says "...your plugins (and ESLint) are ..." implying ESLint is not a Vim plugin.

I am trying to work out how to apply ESLint to JavaScript files I am writing in Vim. I would like to do so (at least initially) without any plugins. I think it might help me to achieve this if I knew whether or not ESLint is a Vim plugin or not.

...

ANSWER

Answered 2022-Feb-12 at 01:35

No. It is a general linter for javascript. See https://eslint.org/

If you want to use ESLint in Vim, you can use a vim plugin (such as ALE or the eslint vim plugin) to help you. Or you can use the command line interface eslint offers if you don't want to use plugins.

Source https://stackoverflow.com/questions/71087803

QUESTION

R Extending each list level by new elements

Asked 2021-Apr-12 at 14:41

I'm looking for a way to automatically add new list elements/levels to an existing list:

my real-life use case has several thousand elements to add, so the manual example below for adding two elements is not feasible anymore,
I need a list because that's the format expected by an API I'm trying to access.

Example:

...

ANSWER

Answered 2021-Apr-12 at 14:41

Iterate over names using map or using the same arguments replace map with lapply in which case no packages are needed.

Source https://stackoverflow.com/questions/67060194

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

Vulnerabilities

No vulnerabilities reported

Install PMLC-2014

To get Python up and running across multiple platforms, I recommend the [Anaconda](http://continuum.io/downloads) installer (or, for a lighter-weight install, use [miniconda](http://conda.pydata.org/miniconda.html)) If you’re using Anaconda, you can assure that you’re using the latest scikit-learn release by running:.

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 .

Find more information at: