snl | Sequential Neural Likelihood | Machine Learning library
kandi X-RAY | snl Summary
kandi X-RAY | snl Summary
Sequential Neural Likelihood
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Top functions reviewed by kandi - BETA
- Plot results
- Save data to file
- Load a text file
- Calculate the average distance
- Learn the posterior distribution
- Train the model
- Check whether n is a positive integer
- Write a message to stdout
- Example example
- Generate samples from input data
- View the NDE of the NDE
- Runs the model
- Visualize samples from SNL
- Estimate a Gaussian likelihood using a Gaussian model
- Example function to show ground truth
- Compute theano score
- Compute theano score function
- Learn posterior distribution
- Evaluate the latent function
- Learn likelihood
- Evaluate theano function
- Run the simulation
- Generate random samples
- Run the model
- Generate a proposal
- Simulate the simulation
- Train proposal proposal
snl Key Features
snl Examples and Code Snippets
Community Discussions
Trending Discussions on snl
QUESTION
According to YouTube Data API documentation, I'm trying to get information about my channel.
I edited this example and here how it looks now:
...ANSWER
Answered 2021-Feb-15 at 13:22You have to acknowledge that by this code of yours:
QUESTION
Im attempting to create an awk program to add the last column of data (amount of time a user is connected) while making the formatting still readable (Hours no greater than 24, no mins greater than 60.) However with the first line - it doesn't display a time and ill have to ignore it.
...ANSWER
Answered 2020-Oct-29 at 06:18You can very much do something like that in awk
- There are two basic aspects to consider:
- record selection; and
- record processing.
The first (record selection) is done by looking for a specific regex on each line, the code below selects the most likely case for your input data, specifically that the final field matches:
QUESTION
I'm creating a game and I'm using the radio button form. I set up alerts using jQuery when the user chooses the correct answer and wrong answer. The alerts work when the user picks the wrong answer but when the user selected the correct answer the jQuery will run through the entire script. I thought maybe the string from the radio button wasn't matching with the Jquery so I changed it and that didn't work. I tried to add variables and having those match and that didn't work along with few other rewrites but I keep running into the same problem. I have no clue what I'm missing, thanks for the time and help.
...ANSWER
Answered 2019-Dec-27 at 19:58You have two problems in code like this:
QUESTION
I am using a multi-url curl command like this:
curl -snL http://url1 http://url2
Each produces json as such:
...ANSWER
Answered 2019-Dec-11 at 13:54JQ accepts a stream of JSON. You don't have to do anything special to get it to read the data.
QUESTION
I'm looking at an SNL dataset and I want to use seaborn to take a look at a couple different things.
I'm using this to learn more about visualizations in jupyter (aka I'm a beginner).
aid: actor
capacity: what their role was
charid: unique character id
impid: unique impersonation id
role: name of role they played
tid: sketch id
voice: were they just a voiceover?
epid: episode id
sid: season id
Some questions: Who are the top 20 actors who appeared on SNL? The characters used most frequently? The impressions most frequently? Which characters were played by multiple actors?
I tried this but it's so many people, I want to limit it to maybe 20 people. Or if you have suggestions of other visualizations to try I'm all ears.
...ANSWER
Answered 2019-Apr-16 at 11:44Your question is quite broad but in general, for each series, you can do this:
Get the count for each unique element of a specific column and only take the 20 elements with the highest count:
QUESTION
I'm on my Mac with a small Python script to 7 zip and encrypt it. Here is my Python code:
...ANSWER
Answered 2019-Mar-20 at 16:26You just need to use the correct 7z
arguments,
QUESTION
I have the following code:
...ANSWER
Answered 2018-Oct-02 at 21:26Any idea of what's going on here?
It's quite simple, content-range
is a response header and not a request header. The only response header that can be set—using XMLHttpRequest.prototype.overrideMimeType
—from the client side is the content-type
.
If it is exposed by the Access-Control-Expose-Headers
response header you may retrieve it using:
QUESTION
On the following url:
https://www.tophtml.com/snl/15.mp3
there is one audio I want to play using pure Web Audio API
on the following range
:
ANSWER
Answered 2018-Sep-26 at 22:40Frame length (sec) = frame samples / sample rate which makes 38.28 frames/sec.
Fram length (byte) = 144*bitrate/sample rate
So, your fetch() should work now (I changed range length too):
QUESTION
The code is running fine on online Standard ML of New Jersey v110.78 but showing error on unix SNL/NJ .93. here is the code
...ANSWER
Answered 2018-Sep-17 at 12:13It sounds like your standard library in this SML/NJ .93 is not properly configured. If you read the StackOverflow Q&A how to install SML-New jersey .93 version? you'll see that
SMLNJ version 0.93 was released in 1993. It is available for historical purposes. [...] It was never tested on any version of Microsoft Windows [...] It is highly unlikely to run natively under Windows [...]
I would recommend against using this version unless you're willing to deal with the consequences of running software that was not designed for the operating systems of our time, whether that is Windows or something else.
QUESTION
I am trying to run the ELK stash using the popular Docker image on DockerHub, seep/elk.
In my project dir, I have the following two files:
docker-compose.up
(just want to see if logstash works, so I'm reading from stdin and writing to stdout rather than elasticsearch):
ANSWER
Answered 2018-Aug-12 at 07:26So, I did find a solution thanks to the owner of the elk image repo.
I followed instructions from this page. That is, I entered the container bash by running docker exec -it bash
, and then (inside the container terminal) I ran the command /opt/logstash/bin/logstash --path.data /tmp/logstash/data -e 'input { stdin { } } output { elasticsearch { hosts => ["localhost"] } }'
.
The problem was that although the Logstash
service had been started, it did not have an an interactive terminal. The command above, addresses this problem.
The following logs were displayed inside the container terminal:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install snl
Install NEURON 7.5 from using the 64 bit .deb (Debian or Ubuntu) or .rpm (Fedora derivatives) precompiled installer from https://neuron.yale.edu/neuron/download/precompiled-installers
Set PYTHONPATH=/usr/local/nrn/lib/python:$PYTHONPATH
In this directory run nrnivmodl, which will compile the .mod files into an executable file in a new directory, x86_64.
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