Simple-Linear-Regression | simple python program | Machine Learning library

by mahesh147 Python Version: Current License: No License

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kandi X-RAY | Simple-Linear-Regression Summary

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

A simple python program that implements a very basic Linear Regression model

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Simple-Linear-Regression has a low active ecosystem.

It has 12 star(s) with 22 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Simple-Linear-Regression has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Simple-Linear-Regression is current.

Quality

Simple-Linear-Regression has no bugs reported.

Security

Simple-Linear-Regression has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Simple-Linear-Regression 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.

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Simple-Linear-Regression releases are not available. You will need to build from source code and install.

Simple-Linear-Regression has no build file. You will be need to create the build yourself to build the component from source.

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Simple-Linear-Regression Key Features

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Simple-Linear-Regression Examples and Code Snippets

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Community Discussions

Trending Discussions on Simple-Linear-Regression

Pardo Function in google dataflow not producing any output

Multiple linear regression models for a nested dataframe/tibble

Image not displaying in jerkyll blog post

Batch Gradient Descent with Python not converging

Multiple Linear Regression in Power BI

Tensorflow, IpyNotebook: Plotting a Linear Regression line

QUESTION

Pardo Function in google dataflow not producing any output

Asked 2020-Jun-10 at 01:39

I am trying to create my first pipleine in dataflow, I have the same code runnign when i execute using the interactive beam runner but on dataflow I get all sort of errors, which are not making much sense to me.

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ANSWER

Answered 2020-Jun-07 at 00:52

I've only used Beam with the Java SDK, but the process function generally does not return. It calls a Beam-supplied callback to output results. This is so that you can take one input and return any number of outputs.

In your example, AnalyzeSessions#process has a return statement. Looking at Beam examples I see a yield statement in the process function of a DoFn. Try yield? Is that Python's version of an output callback? https://beam.apache.org/get-started/wordcount-example/#specifying-explicit-dofns

Source https://stackoverflow.com/questions/62225659

QUESTION

Multiple linear regression models for a nested dataframe/tibble

Asked 2020-Mar-06 at 12:16

I am trying to run multiple linear regressions on a nested dataframe. I have this data sample:

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ANSWER

Answered 2020-Mar-06 at 12:14

I think something this should work:

Source https://stackoverflow.com/questions/60563093

QUESTION

Image not displaying in jerkyll blog post

Asked 2020-Feb-26 at 14:43

I tried to display an image in my github blog post(which I created using jekyll):

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ANSWER

Answered 2020-Feb-26 at 14:43

here the correct link for the img: https://raw.githubusercontent.com/SurajSubramanian/SurajSubramanian.github.io/master/_posts/images/scatterplot.png

To know the URL of a picture on the web browser (right click on the picture -> open the picture in new tab and you get thre right URL)

The img will be like that:

Source https://stackoverflow.com/questions/60415439

QUESTION

Batch Gradient Descent with Python not converging

Asked 2019-Dec-19 at 13:07

Here's the Jupyter Notebook I used for this practice: https://drive.google.com/file/d/18-OXyvXSit5x0ftiW9bhcqJrO_SE22_S/view?usp=sharing

I was practicing simple Linear Regression with this data set, and here are my parameters:

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ANSWER

Answered 2019-Dec-19 at 11:36

The are many issues with that code.

First, the two main issues that are behind the bugs:

1) The line

Source https://stackoverflow.com/questions/59406021

QUESTION

Multiple Linear Regression in Power BI

Asked 2019-Apr-06 at 01:14

Suppose I have a set of returns and I want to compute its beta values versus different market indices. Let's use the following set of data in a table named Returns for the sake of having a concrete example:

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ANSWER

Answered 2018-Feb-22 at 09:56

As there is no equivalent or handy replacement for LINEST function in Power BI (I'm sure you've done enough research before posting the question), any attempts would mean rewriting the whole function in Power Query / M, which is already not that "simple" for the case of simple linear regression, not to mention multiple variables.

Rather than (re)inventing the wheel, it's inevitably much easier (one-liner code..) to do it with R script in Power BI.

It's not a bad option given that I have no prior R experience. After a few searches and trial-and-error, I'm able to come up with this:

Source https://stackoverflow.com/questions/48796873

QUESTION

Tensorflow, IpyNotebook: Plotting a Linear Regression line

Asked 2017-Jun-29 at 14:22

This code, linear regressiong using tensorflow, is done using Jupyter Notebook, python-3.

Code Referenced from here.

My csv data contains two col: Height & SoC. I want to plot all my data points on the graph with X-axis being height, and Y-axis being SoC and then plot a best-fit line that i get from the model(shown in code below).

Values of SoC ranges from 0 to 100, values of Height ranged from 0 to 1

Both height and SoC are Float.

The current graph that i could plot(in code below), is not looking like what i want.

How do i go about plotting this specific graph? Thanks in advance!

Code:

...

ANSWER

Answered 2017-Jun-29 at 14:22

Dont understand why you say the current plot is 'not looking' the way you want.

Since the same input values are mapped to multiple outputs, you can only get one representation which is close to their average using linear regression.

Source https://stackoverflow.com/questions/44815829

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

Vulnerabilities

No vulnerabilities reported

Install Simple-Linear-Regression

You can download it from GitHub.
You can use Simple-Linear-Regression 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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