sears | Semantically Equivalent Adversarial Rules for Debugging NLP | Machine Learning library

by marcotcr Python Version: Current License: BSD-2-Clause

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | sears Summary

sears is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. sears has no bugs, it has a Permissive License and it has low support. However sears has 1 vulnerabilities and it build file is not available. You can download it from GitHub.

Code for Semantically Equivalent Adversarial Rules for Debugging NLP Models.

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Security

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Support

sears has a low active ecosystem.

It has 79 star(s) with 16 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 20 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sears is current.

Quality

sears has 0 bugs and 0 code smells.

Security

sears has 1 vulnerability issues reported (0 critical, 0 high, 1 medium, 0 low).

sears code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sears is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

sears releases are not available. You will need to build from source code and install.

sears has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

sears saves you 842 person hours of effort in developing the same functionality from scratch.

It has 1931 lines of code, 86 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed sears and discovered the below as its top functions. This is intended to give you an instant insight into sears implemented functionality, and help decide if they suit your requirements.

Suggest words in between two words
Transform decoder decodes
Repeats tensors
Advance the state of the encoder
Compute rules for the given sentence and other
Test whether the given token matches the given value
Check if ngram is frequent
Match the token sequence
Compute the distance between each phrase
Compute the score of two sentences
Generates paraphrases for the given sentence
Choose a set of rules based on penalty
Compute the new score
Compute the gain
Calculates the coverage based on rules
Return a set of rules that are disqualified
Makes a picklable model
Evaluate the given sentence
Applies the rule to the given sequences
Compute the weighted score between two sentences
Compute the score between two sentences
Calculate the score between two rules
Select rules for a given rule
Try to suggest the next word
Load fields from a vocabulary
Predict the probability of the input X

Get all kandi verified functions for this library.

sears Key Features

No Key Features are available at this moment for sears.

sears Examples and Code Snippets

No Code Snippets are available at this moment for sears.

Community Discussions

Trending Discussions on sears

array.filter is returning entire object instead of just one value

Creating dictionary with duplicate keys from file, having trouble storing list to the key (python 3)

Delete rows based on the multiple values as fast as possible

Perform a pipelines aggregation over the full set of potential buckets

Can I use a regular expression to help format this data to separate name, age, and address?

How to split data groups into quartiles by group's size

Complete match of words in pandas series extract function

React - conditional output using ternary operator based on variable

Group columns and store variables in list within dataset in R

Join dataframes in dplyr by characters

QUESTION

array.filter is returning entire object instead of just one value

Asked 2022-Mar-03 at 04:26

I have a simple function that is filtering an array.

I only want the string value, not the entire object.

Why is the entire object coming back and not just the string?

I get the desired output if I switch the return to a console.log()

Any ideas?

Here is the code

...

ANSWER

Answered 2022-Jan-13 at 07:17

Because filter() always return an array. you want filter from return array. using [0].header You can do it !

Try this code it's work

Source https://stackoverflow.com/questions/70692603

QUESTION

Creating dictionary with duplicate keys from file, having trouble storing list to the key (python 3)

Asked 2022-Jan-15 at 17:25

here is my txt file that has contained all of the lines. What I want to do is create a dictionary, and access a key, and get a list of values

...

ANSWER

Answered 2022-Jan-15 at 16:57

If i understand your question right you can do this:

Source https://stackoverflow.com/questions/70723493

QUESTION

Delete rows based on the multiple values as fast as possible

Asked 2022-Jan-13 at 20:09

I have a dataframe which consist a column named Url. There are around 500K Urls. I want to delete all the rows where the Urls consist of some domain name like amazon.com, ebay.com, bestbuy.com and so on.

Those Urls can be like the below:

https://www.homedepot.com/b/Plumbing-Water-Pumps-Sump-Pumps-Submersible-Sump-Pumps/N-5yc1vZbqj6

https://images.homedepot-static.com/catalog/pdfImages/ba/ba1bd2c2-82ea-4510-85c8-333392e70a23.pdf

https://us.amazon.com/Simer-A5000-Hole-Battery-System/dp/B000DZKXC2

https://www.amazon.com/Hydromatic-DPS41-Diaphragm-Switch-Range/dp/B009S0NS0C

So the domain can be present as subdomain too. It may or may not consist with http, https, www, top level country domain name like co.uk, .co.nz and so on.

So I need an universal solution to delete any URL when the domain name is present in the exclude-sites list.

I already created a function for it which is working fine for smaller data set. But it couldn't clean the data for the 500K rows even after running it for straight 5 hours.

Here is the function I am using:

...

ANSWER

Answered 2022-Jan-13 at 20:09

exclude_sites_escaped = [x.replace('.', '\.') for x in exclude_sites]
df[~df['Url'].str.contains('|'.join(exclude_sites_escaped), regex = True)]

Source https://stackoverflow.com/questions/70701810

QUESTION

Perform a pipelines aggregation over the full set of potential buckets

Asked 2021-Oct-21 at 19:58

When using the _search API of Elasticsearch, if you set size to 10, and perform an avg metric aggregation, the average will be of all values across the dataset matching the query, not just the average of the 10 items returned in the hits array.

On the other hand, if you perform a terms aggregation and set the size of the terms aggregation to be 10, then performing an avg_buckets aggregation on those terms buckets will calculate an average over only those 10 buckets - not all potential buckets.

How can I calculate the an average of some field across all potential buckets, but still only have 10 items in the buckets array?

To make my question more concrete, consider this example: Suppose that I am a hat maker. Multiple stores carry my hats. I have an Elasticsearch index hat-sales which has one document for each time one of my hats is sold. Included in this document is price and that store at which the hat was sold.

Here are two examples of the documents I tested this on:

...

ANSWER

Answered 2021-Oct-21 at 19:58

You can achieve what you are aiming at without a pipeline aggregation. It sort of cheats the aggregation framework, but, it works.

Here is the data setup:

Source https://stackoverflow.com/questions/69634753

QUESTION

Can I use a regular expression to help format this data to separate name, age, and address?

Asked 2021-Oct-20 at 05:58

I am working on an assignment for class, and we need to format this data. I was thinking that regular expressions would be a very elegant way of formatting the data. But, I ran into some trouble. This is my first time doing this before and I do not know how to properly split the data. I want the beginning to the first digit be the first section, the first digit until the next white space to be the second section, and there till the end of the line to be the third section. Here is my data:

...

ANSWER

Answered 2021-Oct-19 at 17:21

You can use

Source https://stackoverflow.com/questions/69635124

QUESTION

How to split data groups into quartiles by group's size

Asked 2020-Dec-20 at 03:28

I have a dataset for credit card transaction.

I split this dataset by group using below code

...

ANSWER

Answered 2020-Dec-20 at 03:28

See inline notation for code explanation
pandas.core.groupby.GroupBy.size
pandas.Series.reset_index
pandas.Series.quantile
pandas.cut
pandas.DataFrame.merge
pathlib
- Path.mkdir
pandas.DataFrame.iloc
pandas.DataFrame.to_csv

Source https://stackoverflow.com/questions/65371504

QUESTION

Complete match of words in pandas series extract function

Asked 2020-Oct-25 at 12:42

I am trying to extract words when fully matched. Here is the code

...

ANSWER

Answered 2020-Oct-25 at 12:42

how is inside shower, you need to match the word so you want to use word bounderay \b. There is a catch though, that is, \b need to sit inside a raw string r for str.extract to work:

Source https://stackoverflow.com/questions/64519990

QUESTION

React - conditional output using ternary operator based on variable

Asked 2020-Jul-18 at 07:50

I have the following code that sets a div to be shown or hidden based on the value of showFiles[game.identifier]. Showing just the code related to showFiles() for brevity:

...

ANSWER

Answered 2020-Jul-18 at 07:47

You just need another set of parentheses in your call to map:

Source https://stackoverflow.com/questions/62965899

QUESTION

Group columns and store variables in list within dataset in R

Asked 2020-Jun-24 at 21:14

So basically, I have a dataframe like this

...

ANSWER

Answered 2020-Jun-24 at 04:13

You can combine size into a list in summarise :

Source https://stackoverflow.com/questions/62547414

QUESTION

Join dataframes in dplyr by characters

Asked 2020-Jun-17 at 18:08

So I have two dataframes:

DF1

...

ANSWER

Answered 2020-Jun-17 at 17:27

Using separate_rows from tidyr in combination with dplyr will get you there.

First table I called fruit, the other stores.

Source https://stackoverflow.com/questions/62434628

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

Vulnerabilities

CVE-2014-5873 MEDIUM

The Sears (aka com.sears.android) application 6.2.8 for Android does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate.

http://www.kb.cert.org/vuls/id/803553

https://docs.google.com/spreadsheets/d/1t5GXwjw82SyunALVJb2w0zi3FoLRIkfGPc7AMjRF0r4/edit?usp=sharing

http://www.kb.cert.org/vuls/id/582497

Install sears

Download and unpack the translation models into the translation_models folder. Run jupyter notebook, change kernel to sears, and run the notebook :).

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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