binet | Deep Learning package for Python | Machine Learning library

 by   bioinf-jku Python Version: Current License: Non-SPDX

kandi X-RAY | binet Summary

kandi X-RAY | binet Summary

binet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. binet has no bugs, it has no vulnerabilities, it has build file available and it has low support. However binet has a Non-SPDX License. You can download it from GitHub.

Deep Learning package for Python
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            kandi-support Support

              binet has a low active ecosystem.
              It has 24 star(s) with 11 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 2 have been closed. On average issues are closed in 7 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of binet is current.

            kandi-Quality Quality

              binet has 0 bugs and 0 code smells.

            kandi-Security Security

              binet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              binet code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              binet 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.

            kandi-Reuse Reuse

              binet 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.
              binet saves you 1696 person hours of effort in developing the same functionality from scratch.
              It has 3760 lines of code, 245 functions and 19 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed binet and discovered the below as its top functions. This is intended to give you an instant insight into binet implemented functionality, and help decide if they suit your requirements.
            • Fit the model
            • Perform a partial fit
            • Get current learning rate
            • Check the shape of y
            • Compute the scssparse scssparse
            • Check the status of a cusparse server
            • Train the model
            • Calculates the progress of the optimizer
            • Creates the enwik8
            • Download a file from urlbase
            • Create a matdescr object
            • Compute the cssparse scssparse
            • Create and downsampled dataset
            • Create a cusparse struct
            • Set cusparse stream
            • Write a cuspy cssparse cusparse
            • Write zaxpy zaxpy zaxpy
            • Create MNIST dataset
            • Get the version of a cusparse
            • Load a Dataset
            • Bpropagate the gradient of the function
            • Compute the symmetric similarity matrix
            • Convert a dense sparse matrix to dense matrix
            • Calculate the number of SNZ components
            • Create a covertype
            • Perform the forward computation
            Get all kandi verified functions for this library.

            binet Key Features

            No Key Features are available at this moment for binet.

            binet Examples and Code Snippets

            No Code Snippets are available at this moment for binet.

            Community Discussions

            QUESTION

            Why do the outputs for Binet's formula have decimals when calculated using Python?
            Asked 2021-May-06 at 20:40

            I'm writing a script in Python that returns a list of terms in the Fibonacci sequence, given a start term and an end term. For example, if I entered "0" as the start term and "6" as the end term, then the output should be:

            ...

            ANSWER

            Answered 2021-May-06 at 20:40

            Floating point numbers lose some precision due to storage issues. See "Floating Point Arithmetic: Issues and Limitations" for details.

            In this simple case you can just use round() to get integers again. But beware: this can also lead to errors.

            Source https://stackoverflow.com/questions/67425322

            QUESTION

            Can I increase the margin-top in css based on how small I make my window?
            Asked 2021-Apr-01 at 21:33

            I want the space between my black div and the navbar to remain the same when I resize the window. I thought of resizing the margin-top as the window gets smaller but I do not know how to get window's current size and use it in css.

            Photos:

            Full sized window

            Minimized window

            Question.css

            ...

            ANSWER

            Answered 2021-Apr-01 at 21:33
            .Question {
              background-color: #0B0C10;
              margin: 2% 5% 3% 5%;
              padding: 4%;
              color: #C5C6C7;
            }
            
            @media screen and (max-width: 600px) {
              .Question {
                margin: 4% 5% 3% 5%;
              }
            }
            

            Source https://stackoverflow.com/questions/66911678

            QUESTION

            My Fibonacci generator is giving incorrect results
            Asked 2020-Oct-20 at 06:48

            I am trying to work on a function which takes in a value n and outputs the nth number in the Fibonacci sequence. I have a looping function which seems to work like so:

            ...

            ANSWER

            Answered 2020-Oct-20 at 06:18

            This has less to do with math.sqrt than how the floating-point numbers are represented in python. The default implementation

            Almost all machines today (November 2000) use IEEE-754 floating point arithmetic, and almost all platforms map Python floats to IEEE-754 “double precision”.

            You can read more about the limitation of in-built floating-point here.

            You can use decimal module to take care of this inaccuracy

            Unlike hardware based binary floating point, the decimal module has a user alterable precision

            If you need even more accurate representation you can use getContext() to tweak the precision

            Source https://stackoverflow.com/questions/64438930

            QUESTION

            Why do (complex) functions of the same numbers generated by numpy.arange() and range() differ?
            Asked 2020-Aug-24 at 23:48
            # necessary imports
            import numpy as np
            import matplotlib.pyplot as plt
            
            ...

            ANSWER

            Answered 2020-Aug-24 at 23:48

            The duplicate focused on np.arange. But that isn't the problem here.

            Compare passing a float to binet versus a np.float64:

            Source https://stackoverflow.com/questions/63569585

            QUESTION

            How to animate a complex function with matplotlib?
            Asked 2020-Jul-09 at 03:53

            I want to make an animation with the function ((phi^n)-((-1/phi)^n))/(5^0.5) (Binet's formula) as n ∈ ℝ, so that the graph starts as a straight line on the real axes then shifts into the actual graph. I have tried to add

            ...

            ANSWER

            Answered 2020-Jul-09 at 03:53

            I have adapted the example from matplotlib's animation documentation. Here's how the code has been modified to allow for the modification of axis elements (in this case, the legend) by setting blit=False

            Source https://stackoverflow.com/questions/62800650

            QUESTION

            Matlab: Graphing Reverse Fibonacci
            Asked 2020-May-16 at 16:19

            I have made a short code that that starts at a value (in my case, one million) and then completes a reverse-Fibonacci by minusing the previous two digits until we get as close to zero as possible. We then log how many steps it took to get to the lowest digit.

            For example, we start at 1,000,000 and then loop through a bunch of numbers as the second digit. Let's say we use the digit 5. 1,000,000 - 5 = 999,995 5 - 999,995 = -999,990

            -999,990 is less than zero, so we would log the number 2 (the two numbers being 1,000,000 and 5)

            Now we loop through a whole bunch of second digits and then plot the number we're logging. The highest logged number wins. My problem is that my code takes forever to run through all the second digits. Is there a faster way?

            ...

            ANSWER

            Answered 2020-May-16 at 16:19

            There's a few things slowing your code down, as annotated below:

            Source https://stackoverflow.com/questions/61834728

            QUESTION

            How can I increase the accuracy of Fibonacci implementation for large n?
            Asked 2020-Apr-11 at 09:54

            I'm using Binet's Formula to calculate Fibonacci number for large n

            Binet's Formula:

            my code:

            ...

            ANSWER

            Answered 2020-Apr-11 at 09:43

            I think you want to correct alpha_n according to the formula:

            Source https://stackoverflow.com/questions/61154711

            QUESTION

            Doubts About Fibonacci Analytical Solving Approach
            Asked 2019-Nov-15 at 23:12

            I'm practicing using Binet formula to compute Fibonacci number, by following the Binet formula, I came up with the following code and passed the test case in leetcode:

            ...

            ANSWER

            Answered 2019-Nov-15 at 23:12

            Your code is a digital rendering of the exact formula: φ^n - ψ^n; this is correct to the precision limits of your mechanical representation, but fails as the result grows beyond that point.

            The given solution is a reasonable attempt to correct that fault: instead of subtracting a precise correction amount, since that amount is trivially shown to be less than 1, the given solution merely adds 1 and truncates to the floor integer, yielding the correct result further out than your "exact" implementation.

            Try generating some results:

            Source https://stackoverflow.com/questions/58885677

            QUESTION

            Get accurate values for larger Fibonacci numbers in python using Binet's formula
            Asked 2019-Aug-21 at 20:13

            I was learning itertools and was trying out to test the accuracy of Binet's formula implemented in python. Reason for using itertools was my assumption that this would take a lot of iterations and a discrepancy would occur only after a lot of iterations.

            ...

            ANSWER

            Answered 2019-Feb-01 at 00:31

            decimal is the way to go. By the way, at the end, there's no point isliceing by 1 when you can just do next(r):

            Source https://stackoverflow.com/questions/54470991

            QUESTION

            Center the img/logo and make the navbar items around the logo
            Asked 2019-Aug-12 at 11:34

            I want to center the logo and have 2 navbar items from its left and the other 2 from the right. It will increase my website functionality and help with the more modern look. If someone could help me I would be really grateful, thanks a lot!!!

            tried searching here i didnt find anything that was working for me.

            ...

            ANSWER

            Answered 2019-Aug-12 at 11:34

            You can try using this code to get the logo in the middle and the nav links on the sides.

            Source https://stackoverflow.com/questions/57459949

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

            Vulnerabilities

            No vulnerabilities reported

            Install binet

            You can download it from GitHub.
            You can use binet 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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          • HTTPS

            https://github.com/bioinf-jku/binet.git

          • CLI

            gh repo clone bioinf-jku/binet

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            git@github.com:bioinf-jku/binet.git

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