frac | rational approximation with bounded denominator | Math library

 by   SheetJS JavaScript Version: 1.1.2 License: Apache-2.0

kandi X-RAY | frac Summary

kandi X-RAY | frac Summary

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

Rational approximation to a floating point number with bounded denominator. Uses the Mediant Method. This module also provides an implementation of the continued fraction method as described by Aberth in "A method for exact computation with rational numbers". The algorithm is used in SheetJS Libraries to replicate fraction formats.
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            kandi-support Support

              frac has a low active ecosystem.
              It has 67 star(s) with 3 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 2 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of frac is 1.1.2

            kandi-Quality Quality

              frac has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              frac is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              frac releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            frac Key Features

            No Key Features are available at this moment for frac.

            frac Examples and Code Snippets

            Solve a matrix using the solver .
            pythondot img1Lines of Code : 133dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def matrix_solve_ls(matrix, rhs, l2_regularizer=0.0, fast=True, name=None):
              r"""Solves one or more linear least-squares problems.
            
              `matrix` is a tensor of shape `[..., M, N]` whose inner-most 2 dimensions
              form `M`-by-`N` matrices. Rhs is a tens  
            Convolutional weight matrix .
            pythondot img2Lines of Code : 125dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def linear_to_mel_weight_matrix(num_mel_bins=20,
                                            num_spectrogram_bins=129,
                                            sample_rate=8000,
                                            lower_edge_hertz=125.0,
                                            upper  
            Sigmoid cross_entropy_v2 .
            pythondot img3Lines of Code : 90dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def sigmoid_cross_entropy_with_logits_v2(  # pylint: disable=invalid-name
                labels=None,
                logits=None,
                name=None):
              r"""Computes sigmoid cross entropy given `logits`.
            
              Measures the probability error in tasks with two outcomes in which eac  

            Community Discussions

            QUESTION

            iosMath is crashing SwiftUI
            Asked 2021-Jun-14 at 12:12

            I'm trying to build a Mac App using SwiftUI where I want to display Math using IosMath. I installed it using CocoaPods and I'm able to import it. But every Time I try to get to my View Containing the MTMathUILabel my App is crashing saying : 027055+0200 latextest[1709:84867] [General] -[NSNib _initWithNibNamed:bundle:options:] could not load the nibName: latextest.Latex in bundle (null).

            My code goes as following: In SwiftUI:

            ...

            ANSWER

            Answered 2021-Jun-14 at 12:12

            Solution: There was no nib file because I wasn't using InterfaceBuilder... so I needed to change the Controller see

            Source https://stackoverflow.com/questions/67957831

            QUESTION

            Implementing MathJax: Using JSFiddle, Canvas, and DOM
            Asked 2021-Jun-14 at 05:30

            I was looking at the code here. I am able to get the MathJax part to render correctly when running the MathJax API in the html file. However, I am not able to get MathJax text inside canvas (it appears one line above it). I am wondering what I am doing wrong. I feel like I need to run another extension, API, something to get this to work. Any help would be much appreciated!

            ...

            ANSWER

            Answered 2021-Jun-13 at 16:52

            You needed to add the createjs library and the mathjax library (see first two lines after )

            Source https://stackoverflow.com/questions/67960583

            QUESTION

            Circular histogram with fitted Von Mises Distribution
            Asked 2021-Jun-13 at 15:13

            For the past days I've been trying to plot circular data with python, by constructing a circular histogram ranging from 0 to 2pi and fitting a Von Mises Distribution. What I really want to achieve is this:

            1. Directional data with fitted Von-Mises Distribution. This plot was constructed with Matplotlib, Scipy and Numpy and can be found at: http://jpktd.blogspot.com/2012/11/polar-histogram.html

            1. This plot was produced using R, but gives the idea of what I want to plot. It can be found here: https://www.zeileis.org/news/circtree/

            WHAT I HAVE DONE SO FAR:

            ...

            ANSWER

            Answered 2021-Apr-27 at 15:36

            This is what I achieved:

            I'm not entirely sure if you wanted x to range from [-pi,pi] or [0,2pi]. If you want the range [0,2pi] instead, just comment out the lines ax.set_xlim and ax.set_xticks.

            Source https://stackoverflow.com/questions/67282865

            QUESTION

            Two graphs in the same axes \addplot3 (pgfplots)
            Asked 2021-Jun-10 at 16:25

            I want to draw two graphs using pgfplots. Here's the first one:

            ...

            ANSWER

            Answered 2021-Jun-10 at 16:24

            You can redraw parts of your first function:

            Source https://stackoverflow.com/questions/67924529

            QUESTION

            How to extract mlr3 tuned graph step by step?
            Asked 2021-Jun-09 at 07:49

            My codes in following

            ...

            ANSWER

            Answered 2021-Jun-08 at 09:22

            To be able to fiddle with the models after resampling its best to call resample with store_models = TRUE

            Using your example

            Source https://stackoverflow.com/questions/67869401

            QUESTION

            Shuffle Columns in Dataframe | Python
            Asked 2021-Jun-08 at 12:31

            I want to shuffle columns without order; completely pseudo-randomly, on one line of code.

            Before:

            ...

            ANSWER

            Answered 2021-Jun-08 at 07:29

            Use Series.sample with columns converted to Series and change order of columns by subset:

            Source https://stackoverflow.com/questions/67883198

            QUESTION

            Dividing the dataset in training and testing data with lables
            Asked 2021-Jun-07 at 12:34

            I am trying to divide the dataset to training and testing set, in below code, df_min_max_scaled is my normalized data, df is my unnormalized data, but I am getting error

            ...

            ANSWER

            Answered 2021-Jun-07 at 12:34

            I would recommend you to use train_test_split from sklearn. This could contain following steps:

            1. Load your data (e.g. df = pd.read_csv(...) if your data comes from CSV files)
            2. Split them using train test split (from sklearn.model_selection import train_test_split), where df are your inputs and labels are true targets (you can set test_size to any value you want).

            Source https://stackoverflow.com/questions/67862787

            QUESTION

            How can I combine unicode to use it in ggplot2?
            Asked 2021-Jun-03 at 19:52

            I need an L with a dot above (so basically U+1E36, but with the dot above the L) to include it in the title, e.g.

            ...

            ANSWER

            Answered 2021-Jun-03 at 19:36

            You can use dot(L) in an expression to put a dot over it:

            Source https://stackoverflow.com/questions/67827633

            QUESTION

            MemoryError: Unable to allocate 1.83 MiB for an array with shape (5004, 96) and data type int32
            Asked 2021-Jun-02 at 04:59

            When I want to process a huge csv file I'm getting a MemoryError MemoryError: Unable to allocate 1.83 MiB for an array with shape (5004, 96) and data type int32. The error happens at:

            ...

            ANSWER

            Answered 2021-Jun-02 at 04:59

            You haven't really provided enough information here, but it looks like you can't hold all the spaCy docs in memory.

            A very simple workaround for this would be to split your CSV file up and process it one chunk at a time.

            Another thing you can do, since it looks like you're just saving some words, is to avoid saving the docs by changing your for loop a bit.

            Source https://stackoverflow.com/questions/67789171

            QUESTION

            What is the running time of this iterative function?
            Asked 2021-May-28 at 22:31

            I'm having trouble analyzing the running time of the following iterative function, written in pseudocode:

            ...

            ANSWER

            Answered 2021-May-27 at 16:22

            You need to go in steps. You start with :

            Source https://stackoverflow.com/questions/67725458

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

            Vulnerabilities

            No vulnerabilities reported

            Install frac

            You can install using 'npm i frac' or download it from 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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            Install
          • npm

            npm i frac

          • CLONE
          • HTTPS

            https://github.com/SheetJS/frac.git

          • CLI

            gh repo clone SheetJS/frac

          • sshUrl

            git@github.com:SheetJS/frac.git

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