lowess | A Python implementation of the lowess algorithm | Machine Learning library

by arokem Python Version: Current License: MIT

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kandi X-RAY | lowess Summary

lowess is a Python library typically used in Artificial Intelligence, Machine Learning applications. lowess has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is a python implementation of the LOWESS algorithm for locally linear regression described in Cleveland (1979) and in chapter 6 of Friedman, Hastie and Tibshirani (2008). Friedman, Hastie and Tibshirani (2008). The Elements of Statistical Learning. Cleveland (1979). Robust Locally Weighted Regression and Smoothing Scatterplots. J American Statistical Association, 74: 829-836.).

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lowess has a low active ecosystem.

It has 26 star(s) with 12 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lowess is current.

Quality

lowess has 0 bugs and 0 code smells.

Security

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

lowess code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

lowess 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

lowess saves you 79 person hours of effort in developing the same functionality from scratch.

It has 205 lines of code, 8 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Calculates the lowess probability distribution of a Gaussian distribution .
Calculate the triangle matrix .
Epanechnikov norm .
Evaluate the kernel for a kernel .
Computes the bi - square polynomial .

Get all kandi verified functions for this library.

lowess Key Features

No Key Features are available at this moment for lowess.

lowess Examples and Code Snippets

No Code Snippets are available at this moment for lowess.

Community Discussions

Trending Discussions on lowess

Python (seaborn): Specify dimensions of the pairgrid when calling pairplot

How to pass RGBA color into Seaborn PairGrid

R. Use frequency of a correlation to set dot size in plot

What does this error mean? (statsmodel -> lowess regression)

R lowess with repeated points

Make a new variable, var3, by taking the count of all values of var1 and dividing by unique values of var1, over unique values of var2

Conversion of data type in pandas column while plotting using seaborn

what should be the parameters in residplot seaborn

How to add comparison lines to an lmplot in seaborn?

TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe' while plotting a seaborn.regplot

QUESTION

Python (seaborn): Specify dimensions of the pairgrid when calling pairplot

Asked 2021-Jun-06 at 00:20

I am using seaborn to produce ten scatterplots of each 'independent' variable (X1,...,X10) against one dependent variable (y). My issue is the output is returned as a 1x10 grid, rather than an 'approximately square' grid. Ideally, the grid would be 3x4 (but with 2 subplots in the final row instead of 4).

My output is as follows:

...

ANSWER

Answered 2021-Jun-05 at 15:20

you can specify height and aspect using height=, aspect=. height*aspect gives width of each plot. follow this link for documentation seaborn.pairplot doc.

Source https://stackoverflow.com/questions/67850945

QUESTION

How to pass RGBA color into Seaborn PairGrid

Asked 2020-Dec-19 at 22:07

I have defined a PairGrid function, which works fine

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ANSWER

Answered 2020-Dec-19 at 22:07

The error is pretty self-explanatory. RGB(A) values need to be between 0–1, while your values (12, 50, 196) are (most likely) between 0–255.

change to: color=(12/255, 50/255, 196/255, 0.6)

Source https://stackoverflow.com/questions/65374750

QUESTION

R. Use frequency of a correlation to set dot size in plot

Asked 2020-Nov-02 at 17:59

Is it possible to use the frequency of a correlationn to set the cex value in a plot? e.g. using mtcars. The correlation between cyl and carb. table:

...

ANSWER

Answered 2020-Nov-02 at 17:59

Here's a fully reproducible ggplot solution:

Source https://stackoverflow.com/questions/64650389

QUESTION

What does this error mean? (statsmodel -> lowess regression)

Asked 2020-Sep-21 at 03:06

I am trying to use statsmodel's nonparametric lowess regression.

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ANSWER

Answered 2020-Sep-20 at 18:12

Could you try np.array(data, dtype=np.float64) instead of regular array()?

I have the impression that something is weird with data types. And if is not helping, please give some more information, e.g. code.

Source https://stackoverflow.com/questions/63981494

QUESTION

R lowess with repeated points

Asked 2020-Sep-07 at 02:13

R's lowess function seems to produce some strange results when there are repeated points in the data frame. In the below data frame for high jump performance in the 2016 Olympic Women's heptathlon high jump, two scored equal best.

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ANSWER

Answered 2020-Sep-06 at 12:13

The docs for lowess say that "Normally a local linear polynomial fit is used, but under some circumstances (see the file) a local constant fit can be used." The file it is referring to is https://github.com/wch/r-source/blob/trunk/src/library/stats/src/lowess.doc. I would guess the fact that your dataset is almost perfectly linear is causing some instability in the algorithm to switch to locally constant for the points on the right.

Using the more modern code in loess() avoids this problem:

Source https://stackoverflow.com/questions/63761691

QUESTION

Make a new variable, var3, by taking the count of all values of var1 and dividing by unique values of var1, over unique values of var2

Asked 2020-Jul-31 at 13:38

I'm trying to plot the average number of clicks on a given day over a one week period. The data i'm working with can be found here if you want to take a look. But briefly, it is structured as so:

...

ANSWER

Answered 2020-Jul-31 at 13:24

Assuming I've understood your statement correctly. It's a simple lambda function in agg()

Source https://stackoverflow.com/questions/63190988

QUESTION

Conversion of data type in pandas column while plotting using seaborn

Asked 2020-Jul-02 at 23:07

I have been trying to plot the price vs. km/100L from my dataset using seaborn regplot. I have tried converting the data type of both the columns to int64,but it doesnt work.

...

ANSWER

Answered 2020-Jul-02 at 15:21

You are only providing a string for data, namely the name of your dataframe. Instead, it should be the dataframe itself, so no quotation marks. Please also make sure that x and y are the correct names if the columns in your dataframe.

Source https://stackoverflow.com/questions/62699445

QUESTION

what should be the parameters in residplot seaborn

Asked 2020-May-30 at 11:41

I have made a simple linear regression model:

...

ANSWER

Answered 2020-May-30 at 11:41

You are plotting something very weird, so let's use an example dataset:

Source https://stackoverflow.com/questions/62089069

QUESTION

How to add comparison lines to an lmplot in seaborn?

Asked 2020-May-09 at 02:30

I would like to combine the following lmplots I have. More specifically, the red lines are averages for each season, and I want to place them on their respective lmplots with the other data, instead of having them separate. Here is my code (note, the axes limits aren't working because the second lmplot is messing it up. It works when I just plot the initial data):

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ANSWER

Answered 2020-May-09 at 02:27

Not sure if it is possible the way you want, so maybe something like:

Source https://stackoverflow.com/questions/61690296

QUESTION

TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe' while plotting a seaborn.regplot

Asked 2020-Apr-28 at 18:30

I'm trying to plot a regplot using seaborn and i'm not unable to plot it and facing TypeError: Cannot cast array data from dtype('int64') to dtype('int32') according to the rule 'safe' .

My data has 731 rows and 16 column -

...

ANSWER

Answered 2020-Apr-28 at 18:30

Update: this bug is solved in Seaborn version 0.10.1 (April 2020).

I encountered the same problem. It is issue 1950 at Seaborn's github. Related to running a 32-bit version of numpy. It will be solved in the next release.

To work around the problem, I changed line 84 of my local version of Seaborn's algorithm.py:

Source https://stackoverflow.com/questions/60060301

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

Vulnerabilities

No vulnerabilities reported

Install lowess

You can download it from GitHub.
You can use lowess 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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