ludwig | Data-centric declarative deep learning framework | Machine Learning library

 by   ludwig-ai Python Version: 0.9.3 License: Apache-2.0

kandi X-RAY | ludwig Summary

kandi X-RAY | ludwig Summary

ludwig is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras applications. ludwig has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install ludwig' or download it from GitHub, PyPI.

translated in korean/. ludwig is a data-centric deep learning framework that allows users to train and test deep learning models by specifying a declarative configuration that matches the schema of the data. it is built on top of pytorch. to train a model all you need to provide is a file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, ludwig will do the rest. simple commands can be used to train models both locally and in a distributed way, and to use them to predict new data. a programmatic api is also available to use ludwig from python. a suite of visualization tools allows you to analyze models' training and test performance and to compare them. ludwig is built
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            kandi-support Support

              ludwig has a medium active ecosystem.
              It has 8973 star(s) with 1045 fork(s). There are 186 watchers for this library.
              There were 4 major release(s) in the last 12 months.
              There are 221 open issues and 699 have been closed. On average issues are closed in 111 days. There are 58 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ludwig is 0.9.3

            kandi-Quality Quality

              ludwig has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ludwig 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

              ludwig releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ludwig and discovered the below as its top functions. This is intended to give you an instant insight into ludwig implemented functionality, and help decide if they suit your requirements.
            • Train the model .
            • Run hyperopt .
            • Execute RayTuneResults .
            • Cross validation .
            • Execute the experiment CLI .
            • Compute confidence thresholding 2d .
            • Wrapper for train_cli .
            • Implementation of hyperopt .
            • Compares the two classifiers for the comparison .
            • Compute the confidence thresholding data vs the predicted class .
            Get all kandi verified functions for this library.

            ludwig Key Features

            No Key Features are available at this moment for ludwig.

            ludwig Examples and Code Snippets

            Adversarial rotations and translations for CIFAR10
            Pythondot img1Lines of Code : 61dot img1License : Permissive (MIT)
            copy iconCopy
            {
              "model": {
                  "output_dir": "output/test",
                  # padding mode, passed directly to tf.pad
                  "pad_mode": "constant", 
                  "filters": [16, 16, 32, 64],
                  # size of image fed to classifier,set to 64 for black-canvas setting (no
                  #  
            Quick Start-Step 2: Define a configuration
            Pythondot img2Lines of Code : 48dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            input_features:
            - name: sentence
              type: text
            
            output_features:
            - name: class
              type: category
            
            input_features:
            - name: sentence
              type: text
              encoder: transformer
              layers: 6
              embedding_size: 512
            
            output_features:
            - name: class
              type: category
                
            K-Ffold Cross Validation Example-Classification Example
            Pythondot img3Lines of Code : 40dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            ./k-fold_cv_classification.sh
            
            Cleaning out old results
            Downloading data set
            Preparing data for training
            Saving training and test data sets
            Preparing Ludwig config
            Completed data preparation
            Training: 100%|████████████████████████████████████████████  
            ludwig - prepare classification data set
            Pythondot img4Lines of Code : 51dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            #!/usr/bin/env python
            
            
            # Download and prepare training data set
            # Create Ludwig config file
            #
            # Based on the
            # [UCI Wisconsin Breast Cancer data set](https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original))
            #
            import os.path
            import  
            ludwig - advanced model training
            Pythondot img5Lines of Code : 49dot img5License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            #!/usr/bin/env python
            
            # # Multiple Model Training Example
            #
            # This example trains multiple models and extracts training statistics
            
            import glob
            import logging
            import os
            import shutil
            from collections import namedtuple
            
            import yaml
            
            # ## Import requi  
            ludwig - train mushroom edibility calibrated
            Pythondot img6Lines of Code : 48dot img6License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            #!/usr/bin/env python
            
            import copy
            import logging
            import shutil
            
            import numpy as np
            import yaml
            
            import ludwig.visualize
            from ludwig.api import LudwigModel
            from ludwig.datasets import mushroom_edibility
            
            # clean out prior results
            shutil.rmtree("./res  

            Community Discussions

            QUESTION

            R: Converting names in a column to translated names based on a reference file
            Asked 2022-Jan-24 at 16:18

            Thank you for looking at my question, and happy new year!

            My problem/question: I have a dataframe column containing a list of names like this (some also repeating):

            ...

            ANSWER

            Answered 2022-Jan-24 at 15:44

            Writing a dictionary using read.table().

            Source https://stackoverflow.com/questions/70836415

            QUESTION

            Pushing form data to an array of objects
            Asked 2021-Dec-23 at 01:40

            I have a form with one input element. When the form is submitted, I want it to be pushed to the array of messages. This code does it only once. When the form is submitted for the second time, it only changes the value of the last message instead of adding a new value after it.

            ...

            ANSWER

            Answered 2021-Dec-21 at 18:27

            chat needs to be a state variable. So you can use something like the follow:

            Source https://stackoverflow.com/questions/70440008

            QUESTION

            Not displaying the extracted data
            Asked 2021-Oct-09 at 12:34

            I have a question. Currently, I am working on project to extract data from pdf invoice. I am facing a problem regarding data extraction. Following code is for extracting the data.

            ...

            ANSWER

            Answered 2021-Oct-09 at 12:20

            Your indexing logic is off, and you never increment i. Also, it's unclear what the first if condition is for. Try this instead:

            Source https://stackoverflow.com/questions/69411871

            QUESTION

            add parentheses around output variables
            Asked 2021-Aug-25 at 22:14

            Given the following code:

            https://xsltfiddle.liberty-development.net/pNEj9dR

            i have not managed to get as output the parentheses i need around each variable. Iitry with: ({sbf[@cd = 'a']})

            The above will output () whenever {sbf[@cd = 'a']} does not exist. Desired output:

            ...

            ANSWER

            Answered 2021-Aug-25 at 22:14

            The previous answer already showed you to output some characters only when your data exists by using it at the right side of the map operator !: {sbf[@cd = 'a']!('(',.,')')}. That might introduce spaces so perhaps you rather want {sbf[@cd = 'a']!('(' || . || ')')}.

            Source https://stackoverflow.com/questions/68927476

            QUESTION

            i need to remove prefixes using xslt-3and exclude-result-prefixes
            Asked 2021-Aug-24 at 07:50

            input xml

            ...

            ANSWER

            Answered 2021-Aug-24 at 07:50

            QUESTION

            merge xml elements in one element using xslt-3
            Asked 2021-Aug-23 at 12:30
                
            
                
                
                    Christoph Kolumbus
                    John Diter
                    Julie Nat
                    Darius Milhaud
                    Erich kleiber
                    Franz Ludwig Horth
                
                
                    Christoph Kolumbus
                    Serg
                    Mak
                    DarMil
                    Erikl
                    LudHorth
                
            
            
            
                Chris Prante
                "Chris Dietz"
            
            
            
            
            ...

            ANSWER

            Answered 2021-Aug-23 at 12:30

            It is kind of hard to cater for all options of missing or existing items, perhaps the following helps as it outputs certain separators only if the item itself exists; nevertheless I haven't got the exact output, hopefully you can adjust the code to your needs:

            Source https://stackoverflow.com/questions/68871458

            QUESTION

            Check if all relevant sub-arrays match criteria
            Asked 2021-May-31 at 10:54

            There is a thatre establishment that has a number of theatre groups. Each groups is either international or not. For some reason it is necessary that each international group has at least one female actor , aka. actress. If there exists even one international group without any female actor, function checkGenderEquality must return false.

            ...

            ANSWER

            Answered 2021-May-31 at 10:27

            If the group.international === false, you don't need to check the actors. if the group.international === true, you need to check actors.

            Updated: replace filter with every and some

            Source https://stackoverflow.com/questions/67771353

            QUESTION

            How can I index and query nested arrays in Dexie.js?
            Asked 2021-May-26 at 11:30

            The docs for MultiEntry indexes say any Indexable Type can be used.

            Arrays are indexable types. Therefore it should be possible to index arrays of arrays and so on, right?

            However, I couldn't find any examples or figure out how to query these.

            Basically, what I want is something like:

            ...

            ANSWER

            Answered 2021-May-22 at 21:35

            That's right. Each entry in the properties array is an array of two strings - and that inner array itself is indexable and may act as an indexable entry.

            So to find all books that has subject economics, do

            Source https://stackoverflow.com/questions/67653338

            QUESTION

            biblatex: customizing bibliography entry
            Asked 2021-May-18 at 12:57

            I'm currently struggeling with my BibLaTeX file. I wanna turn these two infos into bold.

            I'm using the template below and cannot find the right place to insert a textbf or a mkbibbold property and even don't know if this is the right property in this use case. Every attempt is failing and / or crashing my whole project.

            Here is a mre (Thanks to @samcarter_is_at_topanswers.xyz) The %%%%% area is where the magic happens..

            regards and stay healthy!

            ...

            ANSWER

            Answered 2021-May-18 at 12:57

            As a quick hack, you could redefine:

            Source https://stackoverflow.com/questions/67575574

            QUESTION

            Function Output fails
            Asked 2021-May-17 at 21:12

            I'm newbie with a newbie question that couldn't find the answer (here or on Google).

            I'm learning write functions and don't understand why this happening.

            The code:

            ...

            ANSWER

            Answered 2021-May-17 at 20:48

            nbers is not in the global scope, it's only in the scope of draw, meaning it can only be accessed from within draw. You could return it rather than printing it so that you can access it outside of draw:

            Source https://stackoverflow.com/questions/67576755

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

            Vulnerabilities

            No vulnerabilities reported

            Install ludwig

            Ludwig requires you to use Python 3.6+. If you don’t have Python 3 installed, install it by running:. You may want to use a virtual environment to maintain an isolated Python environment.
            ludwig[text] for text dependencies.
            ludwig[audio] for audio and speech dependencies.
            ludwig[image] for image dependencies.
            ludwig[hyperopt] for hyperparameter optimization dependencies.
            ludwig[horovod] for distributed training dependencies.
            ludwig[serve] for serving dependencies.
            ludwig[viz] for visualization dependencies.
            ludwig[test] for dependencies needed for testing.

            Support

            You can find the full documentation here.
            Find more information at:

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            Install
          • PyPI

            pip install ludwig

          • CLONE
          • HTTPS

            https://github.com/ludwig-ai/ludwig.git

          • CLI

            gh repo clone ludwig-ai/ludwig

          • sshUrl

            git@github.com:ludwig-ai/ludwig.git

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