mallet | TCP tunnel that works like VPN | Proxy library
kandi X-RAY | mallet Summary
kandi X-RAY | mallet Summary
Mallet is a TCP tunnel that works like VPN. This depends on jpillora/chisel for actual TCP tunneling.
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Top functions reviewed by kandi - BETA
- init initializes the main process .
- handleConn creates a new connection
- RunCommand runs the command
- findFreeTCPPort looks for a TCP port
- setupLogger initializes the logger .
- New returns a NAT object .
- NewPF returns a new instance of PF .
- Execute runs the root command
- NewIptables returns a new Iptables instance
- Main entry point
mallet Key Features
mallet Examples and Code Snippets
Lines of Code : 3
License : No License
CopyLaptop --SSH--> a.example.com --> 10.0.0.0/8
$ ssh -t -L 8080:127.0.0.1:8080 a.example.com chisel server --host 127.0.0.1 --port 8080
$ sudo mallet start --chisel-server http://127.0.0.1:8080 10.0.0.0/8
Laptop --> a.example.com --> 10.0.0.0/8
a.example.com$ chisel server --port 8080
$ sudo mallet start --chisel-server http://a.example.com:8080 10.0.0.0/8
Community Discussions
Trending Discussions on mallet
QUESTION
The documentation of MALLET mentions following:
...ANSWER
Answered 2021-Jun-02 at 12:45The 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.
QUESTION
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 13:47It 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.
QUESTION
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 15:45If 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:
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.pysource code from that older version & update/move it to your own code for private use - dealing with whatever issues arise
QUESTION
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:
- Installed JDK 8u281 for 64-bit Windows
- Downloaded and installed MALLET 2.0.8 in my C:\
- Installed Apache Ant in my C:\Program Files (per this Medium post)
- Created new environmental variables
- Adjusted my path
- Run
antwithin the MALLET folder (receivedBUILD SUCCESSFUL) - Run
ant jarwithin the MALLET folder (receivedBUILD 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 15:02This 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%?
QUESTION
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 13:15Pseudo-code:
QUESTION
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 20:02Just use display flex on your logo's container:
QUESTION
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 11:31This 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.
QUESTION
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 11:04Is 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.
QUESTION
When I try to run:
...ANSWER
Answered 2020-Apr-13 at 05:10Make sure you have:
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'})
QUESTION
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 12:31So, 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"
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