swell | Spectral Word Embedding Learning for Language | Topic Modeling library
kandi X-RAY | swell Summary
kandi X-RAY | swell Summary
the spectral learning toolkit contains implementation of various spectral learning algorithms. all the algorithms learn from some large amounts of unlabeled text (e.g. wsj, nyt, reuters etc.) and output a dictionary (context oblivious) or context sensitive mapping from each word in the text to a low dimensional, typically ~30-50 dimensional real valued vector. the dictionary (or context oblivious mapping) maps each word (type) to a vector e.g. "bank" will have a single vector associated with it for all occurrences of "bank" in the text, irrespective of the fact whether it referred to "river bank" or "jpm chase bank". on the other hand, context sensitive mappings map each word (token) to a vector, and hence would map "river bank" and "jpm chase bank" to differ vectors based on context. the goal behind learning all these embeddings is that they should provide supplementary information in addition to a baseline set of features that one might use for a task. for example, if you’re doing ner where the standard train/test sets are sections of conll '03 data and your classifier is some discriminative classifier e.g. crf, where its easy to add new features. then you would have a baseline set of features for ner
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- Trains Context PCA
- Reads all doc data
- Writes the eigen context vectors
- Generates the projection matrix
- Compute CCAVAR vectors
- Compute CCA2 Gram matrices
- Compute CCA 3 or Rows
- Compute the CCV values for the CCV rules
- Computes the CCA
- Writes the Ligenvalues in the output file
- Computes LRMV vectors
- Test program
- Writes the embeddious embedding matrix
- Get the k - dim dictionary
- Returns a sparse matrix with the rows indexed by the given indexes
- Old CCA 2
- Performs CCA compute CCA
- Entry point to the CCA
- The main function to test the program
- Demonstrates how to use CCA
- Returns a string representation of the options
- Computes the AggMatrices for the input matrix
- Compute LRMV vectors
- Main method for testing
- Main entry point for the LSA file
- Compute context PCA
swell Key Features
swell Examples and Code Snippets
Community Discussions
Trending Discussions on swell
QUESTION
Long time lurker first time poster. I'm new to web scraping, and R, and have largely generated my code from stackoverflow and Youtube so I'm hoping someone can assist with a conundrum I'm having. Many thanks in advance.
Recently, I've been practicing scraping links. For the blog articles of Union of Concerned Scientists this went swell, see below, apologies for the inefficiencies, I'm new.
...ANSWER
Answered 2022-Mar-29 at 03:58We can get the links by,
QUESTION
I have an enum like;
...ANSWER
Answered 2022-Feb-18 at 13:07OpenAPI Specification does not support bitwise enum parameters. Your Meteo
parameter needs to be defined as just type: integer
in the OpenAPI definition, i.e. you need to tweak the annotations so that they produce type: integer
instead of type: array
for this parameter. The consumers will need to provide the correct summed value manually.
QUESTION
Ive been trying to run some code through AWS Lambda using python 3.9 but I keep bumping into an issue when I run my code. I keep getting the "No module named 'regex._regex'" Error. I had this issue a few days ago when working locally through PyCharm but I managed to fix that by installing a newer version of regex I think (honestly can't remember exactly what fixed it it took be all day to try and solve that problem). But now it works on PyCharm and I have also tested my code on VSCode and it works there too without any problems but for some reason every time I copy my file up to AWS Lambda to run it I get the error again. I've looked around and there have been other people that have had the error a while ago but they didn't come to any solutions there, and none of them worked for me either.
to be specific im importing the python-binance module, and within this module it tries to import regex, which succeeds for a few levels bouncing around the regex files importing other regex files until it just won't read the specific '_regex' file. the _regex file is a python file so maybe that has something to do with it but it works through PyCharm and VSCode so I don't know it would be any different in Lambda. I've got the regex files installed through pip normally (pip install regex) swell as in the same location as my python script is (pip install -t MyFile regex). after installing them they arn't nested in any other folders apart from the initial ones that they come in.
To be clear ive got a local folder which im writing my code and importing my packages to, which I then zip up and then upload to lambda Ive taken out that part of the code and taken out the import for python-binance (what is referring to import regex and therefore causing the problem) and all of my other packages work fine so its not the way ive got my packages stored in the directory.
Ive tried changing the version of Python that lambda is running to 3.8 and 3.7 swell and the issue is still there.
The Error:
{ "errorMessage": "Unable to import module 'lambda_function': No module named 'regex._regex'", "errorType": "Runtime.ImportModuleError", "requestId": "c59ea163-53bf-4b1a-8cc5-a4d23283cf0f", "stackTrace": [] }
Any help would be much appreciated.
...ANSWER
Answered 2022-Feb-03 at 00:40The leading underscore in the _regex module indicates that it's a C extension. You may want to try downloading the wheel into your Lambda project, as described here: https://aws.amazon.com/premiumsupport/knowledge-center/lambda-python-package-compatible/
QUESTION
I stream MJPEG from server and update QLabel's QPixmap every time a valid frame received. Memory usage swells in time and I cannot figure out why. Is this a wrong use of QPixmap?
...ANSWER
Answered 2022-Jan-24 at 12:59It is the m_buffer that is swelling. The code i posted consumes frames with fifo logic. So I replaced
QUESTION
I have a react-select
component that I am taking multiple values from. I am then trying to find all matches in a JSON array. I been trying for a while cant figure out the best way. I want to filter and print the matches. Below is the data. i want to get all conditions that match the selected symptoms.
ANSWER
Answered 2022-Jan-17 at 23:34You have to use filter
on your array with the required criterias. Something like:
QUESTION
I have dataset like the following
...ANSWER
Answered 2021-Dec-26 at 09:20We could use type
argument of tbl_summary()
.
See here: https://www.danieldsjoberg.com/gtsummary/reference/tbl_summary.html under type argument:
QUESTION
I have a longitudinal data frame which has some patient symptoms recorded before and after doing vaccination. I am using gtsummary
for creating summary table and doing McNemar's
test. The test result of McNemar
is coming incorrect as the gtsummary
doesn't give crosstabs (2X2) for before and after vaccination. This is the code I am using
ANSWER
Answered 2022-Jan-03 at 13:45The {gtsummary} packages expects paired data to be in a long format (2 observations per ID) and you should be using gtsummary v1.5.0 (the expected data structure was updated in that release).
QUESTION
I have a document (.docx), found in the link below, which I have extracted the content using officer package. https://1drv.ms/w/s!AmwfO49TqaeQhMVx-_pXn-9-3onRRw?e=oe782f
This is a photo of what the document looks like with headings 1,2,3 in different colors.
using the code below, I have extracted the contents of this document.
...ANSWER
Answered 2021-Dec-31 at 18:25This is a bit more than just reshaping, requiring some inference based on previous text
and style_name
values, plus "last observation carry-forward" (locf). The data also has blank space at the beginning/end of strings, so I'll clean them up with trimws
.
I think this does what you want:
QUESTION
I have dataframe like the following:
...ANSWER
Answered 2021-Dec-27 at 06:51One way would be to pivot_longer
, then you can use separate
to get the visit number, then you can filter to just the variables of interest, then pivot_wider
to get to your expected output. (If I understood correctly what you were looking for)
QUESTION
I have 13 lists and a dictionary that changes based on the user inputs, the dictionary selects lists from the 13 lists their names are key, and their values are the values of the lists, it changes based on the user inputs so it might have 1,2,3,4,5,.... lists but it is impossible to be 13 max is 11 or 9 I think,
what I want is to change this dictionary into sets or lists with different names than the ones I predefiend these lists names are (key + random number or something) and have the same value as a dictionary and I can't use the name of the key because it is random and changes based on the user inputs that's why I was trying to somehow index it or change it to list or sets to work with it
Let me explain in detail:
Alright so I have the following Functions
...ANSWER
Answered 2021-Dec-15 at 07:24Your code has several issues:
- you define each disease as a separate variable, which means you need to refer to them by name individually later; a more suitable data structure would be to put them all in a single dictionaries, with the lists of symptoms as the values and the names of the diseases as keys.
- you count how often a symptom is mentioned in each disease, but I can only assume no symptom is mentioned twice, so that's always 0 or 1?
- you use
eval()
to evaluate the name of a keyword parameter name, just because it happens to line up with what you named the disease variables; this is extremely sensitive to mistakes, one typo in either and it wouldn't work; what's worse, if your disease name happens to mean something else in Python, that would now be evaluated -eval()
is evil in most cases, avoid it. - your code calls
loopa
, but nothing is returned, so nothing ends up happening - the use of upper and lower case in both disease names and descriptions isn't very consistent, so it will be hard for anyone to enter the exact descriptions you did (including the correct case)
Here's your code again, but without the issues mentioned above:
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Install swell
You can use swell 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 swell 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 .
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