linefit | LineFit Ruby Gem | Machine Learning library
kandi X-RAY | linefit Summary
kandi X-RAY | linefit Summary
linefit is a Ruby library typically used in Artificial Intelligence, Machine Learning applications. linefit has no bugs, it has no vulnerabilities and it has low support. However linefit has a Non-SPDX License. You can download it from GitHub.
Contents: NAME SYNOPSIS DESCRIPTION ALGORITHM LIMITATIONS EXAMPLES METHODS SEE ALSO AUTHOR LICENSE DISCLAIMER. NAME LineFit - Least squares line fit, weighted or unweighted. SYNOPSIS require 'linefit' lineFit = LineFit.new lineFit.setData(x,y) intercept, slope = lineFit.coefficients rSquared = lineFit.rSquared meanSquaredError = lineFit.meanSqError durbinWatson = lineFit.durbinWatson sigma = lineFit.sigma tStatIntercept, tStatSlope = lineFit.tStatistics predictedYs = lineFit.predictedYs residuals = lineFit.residuals varianceIntercept, varianceSlope = lineFit.varianceOfEstimates. DESCRIPTION The LineFit class does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (This is also called linear regression.) In addition to the slope and y-intercept, the class can return the square of the correlation coefficient (R squared), the Durbin-Watson statistic, the mean squared error, sigma, the t statistics, the variance of the estimates of the slope and y-intercept, the predicted y values and the residuals of the y values. (See the METHODS section for a description of these statistics.).
Contents: NAME SYNOPSIS DESCRIPTION ALGORITHM LIMITATIONS EXAMPLES METHODS SEE ALSO AUTHOR LICENSE DISCLAIMER. NAME LineFit - Least squares line fit, weighted or unweighted. SYNOPSIS require 'linefit' lineFit = LineFit.new lineFit.setData(x,y) intercept, slope = lineFit.coefficients rSquared = lineFit.rSquared meanSquaredError = lineFit.meanSqError durbinWatson = lineFit.durbinWatson sigma = lineFit.sigma tStatIntercept, tStatSlope = lineFit.tStatistics predictedYs = lineFit.predictedYs residuals = lineFit.residuals varianceIntercept, varianceSlope = lineFit.varianceOfEstimates. DESCRIPTION The LineFit class does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (This is also called linear regression.) In addition to the slope and y-intercept, the class can return the square of the correlation coefficient (R squared), the Durbin-Watson statistic, the mean squared error, sigma, the t statistics, the variance of the estimates of the slope and y-intercept, the predicted y values and the residuals of the y values. (See the METHODS section for a description of these statistics.).
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linefit has a low active ecosystem.
It has 51 star(s) with 3 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 3 have been closed. On average issues are closed in 3 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of linefit is current.
Quality
linefit has 0 bugs and 0 code smells.
Security
linefit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
linefit code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
linefit has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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linefit releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of linefit
linefit Key Features
No Key Features are available at this moment for linefit.
linefit Examples and Code Snippets
No Code Snippets are available at this moment for linefit.
Community Discussions
Trending Discussions on linefit
QUESTION
Python line of best fit return value
Asked 2017-Oct-02 at 16:03
ANSWER
Answered 2017-Oct-02 at 16:03You are looking at a different doc. See https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.polyfit.html#numpy.polyfit:
...Fit a polynomial p(x) = p[0] * x**deg + ... + p[deg] of degree deg to points (x, y).
So in your example, it is p(x) = p[0] * x + p[1], which is exactly gradient and interception...
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install linefit
You can download it from GitHub.
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.
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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