MLSA | Tensorflow 2.0 implementation of the M-LSA method | Machine Learning library

 by   juselara1 Python Version: Current License: No License

kandi X-RAY | MLSA Summary

kandi X-RAY | MLSA Summary

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

Tensorflow 2.0 implementation of the M-LSA method.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              MLSA has a low active ecosystem.
              It has 7 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              MLSA has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MLSA is current.

            kandi-Quality Quality

              MLSA has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              MLSA does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              MLSA releases are not available. You will need to build from source code and install.
              MLSA has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MLSA and discovered the below as its top functions. This is intended to give you an instant insight into MLSA implemented functionality, and help decide if they suit your requirements.
            • Compute metrics for trec_eval_eval
            • Write rank prediction to file
            • Convert rank_rels to qrels
            • Train n - gram
            • Create random parameters
            • Build a bow
            • Get report names
            • Count the number ofims in a given path
            • Given a sequence of ids and a list of unique ids return a new one
            • Load a corpus
            Get all kandi verified functions for this library.

            MLSA Key Features

            No Key Features are available at this moment for MLSA.

            MLSA Examples and Code Snippets

            Game .
            pythondot img1Lines of Code : 79dot img1no licencesLicense : No License
            copy iconCopy
            def game():
            
                turn = 'X'
                count = 0
            
            
                for i in range(10):
                    printBoard(theBoard)
                    print("It's your turn," + turn + ".Move to which place?")
            
                    move = input()        
                    if theBoard[move] == ' ':
                        theBoard[  
            Append new password
            pythondot img2Lines of Code : 30dot img2no licencesLicense : No License
            copy iconCopy
            def appendNew():
                checkExistence()
                file = open("info.txt", 'a')
            
                user,site,pwd = get_data()
                if (user != '' and site != '' and pwd != ''):
                    print()
                    print()
            
                    userName = user
                    passWord = pwd
                    website =  
            Check if brackets is balanced .
            pythondot img3Lines of Code : 19dot img3no licencesLicense : No License
            copy iconCopy
            def checker(text):
                stack = []
                for index, char in enumerate(text, start=1):
            
                    if char in ("[", "(", "{"):
                        stack.append(Bracket(char, index))
            
                    elif char in ("]", ")", "}"):
                        if not stack:
                            re  

            Community Discussions

            QUESTION

            How to scrape a dropdwon menu with Selenium-Python?
            Asked 2019-Nov-14 at 16:33

            I have to scrape the data from this web page: http://www.mlsa.am/?page_id=368.The webpage is in Armenian. This is a dropdown menu where the options are: Regions, Areas, Communities, Type of Subsidy, Month and Year. Once these options are selected a table shows up with information on the citizens of these places who get the different kinds of subsidies. The difficulty I am facing right now is that the second dropdown (Areas) depends on the option you select on the first dropdown and the third (Communities) depends and what you select on the previous dropdowns. How should I write my code for this type of web page?

            This is how the web page looks like when you inspect it

            ...

            ANSWER

            Answered 2019-Nov-14 at 16:33

            To select an option from the dropdown you showed in your HTML, I would use the Select() class in Python:

            Source https://stackoverflow.com/questions/58860089

            QUESTION

            file name too long when using Ansible command module
            Asked 2019-May-27 at 18:04

            I am trying to install chef automate using chef habitat with ansible.

            here is the related section of main.yml

            ...

            ANSWER

            Answered 2018-Oct-30 at 08:20

            If you were to read the error message, you would see that file_automate.files does not contain a list of filenames but rather contains a list of python objects, likely as the result of calling stat:

            Source https://stackoverflow.com/questions/53058903

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

            Vulnerabilities

            No vulnerabilities reported

            Install MLSA

            You can download it from GitHub.
            You can use MLSA 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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/juselara1/MLSA.git

          • CLI

            gh repo clone juselara1/MLSA

          • sshUrl

            git@github.com:juselara1/MLSA.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link