smodels | A few Statistics Models in JS | Analytics library

by lostVkng JavaScript Version: 0.1.3 License: MIT

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

kandi X-RAY | smodels Summary

smodels is a JavaScript library typically used in Analytics applications. smodels has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i smodels' or download it from GitLab, GitHub, npm.

An experiment in bringing Data Science and Statistics to Javascript. All work is done on gitlab and mirrored on github:

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Support

smodels has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

smodels has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of smodels is 0.1.3

Quality

smodels has 0 bugs and 0 code smells.

Security

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

smodels code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

smodels 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

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

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Calculates the dot product of two vectors
Calculate the increment of a b .
Computes the Householder .
Calculates the inverse of the upper triangular triangle .
calculates the loki log
Calculate betab
orthand of slope
Increments the minus of a x and b .
Calculates the Gcf from a B .
Calculate the skew function

Get all kandi verified functions for this library.

smodels Key Features

No Key Features are available at this moment for smodels.

smodels Examples and Code Snippets

No Code Snippets are available at this moment for smodels.

Community Discussions

Trending Discussions on smodels

How to use data structures instead of command line arguments with clingo - (ASP)

Prediction of time series with minute interval using arima for python

QUESTION

How to use data structures instead of command line arguments with clingo - (ASP)

Asked 2021-Mar-22 at 06:47

I am starting off with logical programming, and I am working on a simple program to find shortest paths between nodes. The only tutorial I could really understand dealt with command arguments.

Is there a way I can replace Args in my program for a hardcoded structure like a list or something? Is that possible with asp?

...

ANSWER

Answered 2021-Mar-22 at 06:47

I checked the guide and the examples and found only examples where actually you need to call clingo from the command line, although you can use python code inside the program in #script tags. For example this one: https://github.com/potassco/clingo/blob/master/examples/clingo/addclause/addclause-py.lp

However, I routinely use clingo only as a python library and you can find some example code here: https://github.com/peschue/ai4eu-sudoku/blob/master/aspsolver/server.py

Source https://stackoverflow.com/questions/66717122

QUESTION

Prediction of time series with minute interval using arima for python

Asked 2020-Apr-14 at 15:04

I am a beginner in machine learning for time series, I need to develop a project, where my data is composed of minutes, could someone help me create this algorithm?

Data set: Each value represents one minute of collection (9:00, 9:01 ...), the collection lasts 10 minutes and was performed in 2 months, that is, 10 values for January and 10 values for the month of February.

Complete data

Objective: I would like my result to be a forecast of the next 10 minutes for month of March, example:

...

ANSWER

Answered 2020-Apr-14 at 15:04

I see a couple of problems here: As you have two short 1-minute frequency time series with a month separation, it is normal to observe the straight line in your blue line that you mention. In addition, the green line looks like the original data itself, what means that the model's forecast is exactly the same as your original data.

Finally, I don't think it's a good idea to stick together two separate time-series...

Source https://stackoverflow.com/questions/61208967

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

Vulnerabilities

No vulnerabilities reported

Install smodels

You can install using 'npm i smodels' or download it from GitLab, GitHub, npm.

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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