mallet | My fork of MAchine Learning for LanguagE Toolkit

 by   juanmirocks Java Version: Current License: Non-SPDX

kandi X-RAY | mallet Summary

kandi X-RAY | mallet Summary

mallet is a Java library. mallet has no bugs, it has no vulnerabilities, it has build file available and it has high support. However mallet has a Non-SPDX License. You can download it from GitHub.

My fork of Mallet, MAchine Learning for LanguagE Toolkit in java. Updated to last version: 2.0.7, 2011-9-22. Original mercurial repository's history kept using hg-git.
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            kandi-support Support

              mallet has a highly active ecosystem.
              It has 9 star(s) with 28 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1956 days. There are 2 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of mallet is current.

            kandi-Quality Quality

              mallet has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              mallet 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

              mallet 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.
              mallet saves you 82778 person hours of effort in developing the same functionality from scratch.
              It has 91217 lines of code, 8108 functions and 745 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed mallet and discovered the below as its top functions. This is intended to give you an instant insight into mallet implemented functionality, and help decide if they suit your requirements.
            • Test program
            • Prune features in the corpus
            • Construct a new FeatureVector from the given FeatureVector
            • Adds values to accumulator
            • Runs the program
            • Construct a trainer from the given arguments
            • Get the next training split
            • Prints the classifications of a Trial Classification
            • Calculates the per label information for each label
            • Utility method to generate a list of phrases
            • Gets the expGains of the expgains
            • Find the optimal step in direction
            • Maximize the function
            • Evaluate instance list
            • Estimates a pipe from the carrier
            • Performs an AdaBoost algorithm on the specified instance
            • Gets infogains
            • Trains the maximum entropy model
            • This method is used by CRF
            • Cluster the KMeans algorithm
            • Test segmentation
            • Creates a new instance of this instance
            • This method creates a command - line wrapper
            • This method converts a carrier instance to a target instance
            • Entry point for testing
            • Returns the KLGain for a feature
            Get all kandi verified functions for this library.

            mallet Key Features

            No Key Features are available at this moment for mallet.

            mallet Examples and Code Snippets

            No Code Snippets are available at this moment for mallet.

            Community Discussions

            QUESTION

            How does the number of Gibbs sampling iterations impacts Latent Dirichlet Allocation?
            Asked 2021-Jun-02 at 12:45

            The documentation of MALLET mentions following:

            ...

            ANSWER

            Answered 2021-Jun-02 at 12:45

            The 1000 iteration setting is designed to be a safe number for most collection sizes, and also to communicate "this is a large, round number, so don't think it's very precise". It's likely that smaller numbers will be fine. I once ran a model for 1000000 iterations, and fully half the token assignments never changed from the 1000 iteration model.

            Could you be more specific about the cross validation results? Was it that different folds had different MRRs, which were individually stable over iteration counts? Or that individual fold MRRs varied by iteration count, but they balanced out in the overall mean? It's not unusual for different folds to have different "difficulty". Fixing the random seed also wouldn't make a difference if the data is different.

            Source https://stackoverflow.com/questions/67786782

            QUESTION

            Which hyperparameter optimization technique is used in Mallet for LDA?
            Asked 2021-May-21 at 13:47

            I am wondering which technique is used to learn the Dirichlet priors in Mallet's LDA implementation.

            Chapter 2 of Hanna Wallach's Ph.D. thesis gives a great overview and a valuable evaluation of existing and new techniques to learn the Dirichlet priors from the data.

            Tom Minka initially provided his famous fixed-point iteration approach, however without any evaluation or recommendations.

            Furthermore, Jonathan Chuang did some comparisons between previously proposed methods, including the Newton−Raphson method.

            LiangJie Hong says the following in his blog:

            A typical approach is to utilize Monte-Carlo EM approach where E-step is approximated by Gibbs sampling while M-step is to perform a gradient-based optimization approach to optimize Dirichlet parameters. Such approach is implemented in Mallet package.

            Mallet mentions the Minka's fixed-point iterations with and without histograms.

            However, the method that is actually used simply states:

            Learn Dirichlet parameters using frequency histograms

            Could someone provide any reference that describes the used technique?

            ...

            ANSWER

            Answered 2021-May-21 at 13:47

            It uses the fixed point iteration. The frequency histograms method is just an efficient way to calculate it. They provide an algebraically equivalent way to do the exact same computation. The update function consists of a sum over a large number of Digamma functions. This function by itself is difficult to compute, but the difference between two Digamma functions (where the arguments differ by an integer) is relatively easy to compute, and even better, it "telescopes" so that the answer to Digamma(a + n) - Digamma(a) is one operation away from the answer to Digamma(a + n + 1) - Digamma(a). If you work through the histogram of counts from 1 to the max, adding up the number of times you saw a count of n at each step, the calculation becomes extremely fast. Initially, we were worried that hyperparameter optimization would take so long that no one would do it. With this trick it's so fast it's not really significant compared to the Gibbs sampling.

            Source https://stackoverflow.com/questions/67622671

            QUESTION

            ModuleNotFoundError: No module named 'gensim.models.wrappers'
            Asked 2021-Apr-19 at 03:09

            I am trying to use LDA MAllet model. but I am facing with "No module named 'gensim.models.wrappers'" error.

            • I have gensim installed and ' gensim.models.LdaMulticore' works properly.

            • Java developer’s kit is installed

            • I have already downloaded mallet-2.0.8.zip and unzipped it on c:\ drive.

            • This is the code I am trying to use:

              ...

            ANSWER

            Answered 2021-Mar-31 at 15:45

            If you've installed the latest Gensim, 4.0.0 (as of late March, 2021), the LdaMallet model has been removed, along with a number of other tools which simply wrapped external tools/APIs.

            You can see the note in the Gensim migration guide at:

            https://github.com/RaRe-Technologies/gensim/wiki/Migrating-from-Gensim-3.x-to-4#15-removed-third-party-wrappers

            If the use of that tool is essential to your project, you may be able to:

            • install an older version of Gensim, such as 3.8.3 - though of course you'd then be missing the latest fixes & optimizations on any other Gensim models you're using

            • extract the ldamallet.py source code from that older version & update/move it to your own code for private use - dealing with whatever issues arise

            Source https://stackoverflow.com/questions/66884353

            QUESTION

            Running MALLET on Windows; could not find or load main class cc.mallet.classify.tui.Text2Vectors
            Asked 2021-Mar-09 at 15:02

            I'm trying to get MALLET running on a 64-bit Windows 10 Enterprise machine from the native command prompt (cmd.exe). (I tried doing everything with Git Bash, but got stuck even earlier in the process.)

            What I've done:

            • Adjusted my path

            • Run ant within the MALLET folder (received BUILD SUCCESSFUL)
            • Run ant jar within the MALLET folder (received BUILD SUCCESSFUL)
            • Typed bin\mallet, which displays the MALLET commands

            However, when I tried to create a .mallet file, using bin\mallet import-dir, I get the error message Error: Could not find or load main class cc.mallet.classify.tui.Text2Vectors.

            I (and my students) will appreciate any help in figuring out how to get this running.

            ...

            ANSWER

            Answered 2021-Mar-09 at 15:02

            This looks like a classpath issue. I'm not sure how Java on Windows handles classpath now. Try setting %MALLET_HOME% to C:\Mallet-2.0.8, not the bin directory? The classes would be in %MALLET_HOME%\class also, perhaps try adding that to %PATH% or %CLASSPATH%?

            Source https://stackoverflow.com/questions/66536402

            QUESTION

            Best way to handle circle-circle collisions in a Swift game?
            Asked 2021-Jan-08 at 18:15

            I am making a Swift game similar to Air Hockey in SpriteKit.

            I am trying to have accurate/expected 'impulses' applied to the puck when it is struck by the player's mallet.

            I have access to the player's velocity. I also have accurate collision detection between the two circles by using func didBegin(_ contact: SKPhysicsContact). Additionally I have the expected direction the ball should bounce based on where it struck the player's mallet (since its a circle this direction might be different than you would expect by looking at the player's dx and dy.)

            This is what Im currently doing but it feels a bit unnatural and off:

            ...

            ANSWER

            Answered 2021-Jan-08 at 13:15

            QUESTION

            trying to centre these logos in html but when on screens less than 500 width i.e mobile
            Asked 2021-Jan-02 at 20:04

            Hi everyone please could you help me with this issue?

            im trying to get these (image below) to sit side by side when on smaller screen, i am really trying my hardest but still getting stuck at this anyone can help please and thank you.

            its fine on full screen but I cant get it to work

            Code

            ...

            ANSWER

            Answered 2021-Jan-02 at 20:02

            Just use display flex on your logo's container:

            Source https://stackoverflow.com/questions/65543130

            QUESTION

            LDA Gensim Mallet setting alpha as 'auto'
            Asked 2020-Jul-29 at 11:31

            I am using LDA for Topic Modelling in Python.Gensim implementation of LDA allows us to set alpha as 'auto' as below:

            ...

            ANSWER

            Answered 2020-Jul-29 at 11:31

            This is in the optimize_interval argument. From the wrapper documentation:

            optimize_interval (int, optional) – Optimize hyperparameters every optimize_interval iterations

            So although alpha is originally set (or left as the default), if you set optimize_interval then every n iterations, the alpha and beta will be optimised automatically.

            Source https://stackoverflow.com/questions/63147796

            QUESTION

            How can I change the touch offset of a sprite in SpriteKit?
            Asked 2020-Jun-04 at 11:04

            When I touch the player mallet (Air Hockey), I want to make it so the mallet moves slightly above the touch. This way the mallet will be more visible in the game. I have found some solutions but am having a hard time implementing properly in my function.

            Here is a sample of my touchesMoved() function:

            ...

            ANSWER

            Answered 2020-Jun-04 at 11:04

            Is the position var, which you take from the touch location, used to set the position of the mallet? If it is, then if you want the mallet above the touch, why not do something like position.y += 50 immediately after position = location to move it up by 50 points?

            Alternatively, you might find it more logical to set the mallet's anchorPoint property (https://developer.apple.com/documentation/spritekit/skspritenode/1519877-anchorpoint and https://developer.apple.com/documentation/spritekit/skspritenode/using_the_anchor_point_to_move_a_sprite) to be somewhere other than the default poisition (the centre of the sprite) e.g. the point that corresponds to the part of the handle of the mallet where one would normally hold it.

            Source https://stackoverflow.com/questions/62143161

            QUESTION

            CalledProcessError: Returned non-zero exit status 1
            Asked 2020-Apr-13 at 05:10

            When I try to run:

            ...

            ANSWER

            Answered 2020-Apr-13 at 05:10

            Make sure you have:

            • Java Developers Kit downloaded JDK
            • Mallet unzipped Mallet

            And have your env in the correct folder, otherwise update it e.g.:

            • import os
            • os.environ.update({'MALLET_PATH':r'Python/Mallet/mallet-2.0.8/bin'})

            Source https://stackoverflow.com/questions/56148576

            QUESTION

            Accessing specific data from JSON data (Python)
            Asked 2020-Apr-10 at 12:31

            I am new to JSON in Python (forgive me if I word something incorrectly) and I am trying to parse JSON information I get from an API. I get the API information successfully, but when I attempt to extract the information that I need (specifically the 'name' value in the variable info). I can't seem to find anything on how to access it. The code is below:

            ...

            ANSWER

            Answered 2020-Apr-10 at 12:31

            So, there's 2 types of objects you need to be aware of.

            dict: when you load JSON it's stored as a dictionary object. Dict objects let you access the values through keys, like you're doing here -> info['data']['featured']

            list: print(info) is showing that 'info' is a list of things. You can tell by the square brackets [], or just by calling print(type(info)). A list is ordered so to access the name for the first object in your list you would say info[0]['name'].

            To get all the objects in your list in a row you can use a for loop:

            for x in info: print(x['name']) You can name 'x' whatever you want. That loop is just saying " for every object in this list, perform the following action"

            Source https://stackoverflow.com/questions/61140032

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

            Vulnerabilities

            No vulnerabilities reported

            Install mallet

            You can download it from GitHub.
            You can use mallet like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mallet component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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