rouge | full Python Implementation of the ROUGE Metric | Analytics library
kandi X-RAY | rouge Summary
kandi X-RAY | rouge Summary
A full Python Implementation of the ROUGE Metric (not a wrapper)
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Top functions reviewed by kandi - BETA
- Calculate ROUGE - N
- Adds an item to the list
- Extract n - grams from text
- Get n - grams from sentences
- Compute the f - r - r - r p - r p - r - r - r r - r - r - r - r r - r - r - r - r - r - r - r - r - r - r - r - r - r
- Returns the intersection of two sets
- Calculate RCS score level
- Computes the union of two sentences
- Return the union of ngrams
- Compute the lcs similarity between x and y
- Reconstruct lcs
- Get the scores for the given hyps and refs
- Calculate average score
- Calculate scores for a given metric
- Get scores for a given hyp_path
- Check that all files in hyp_path are the same
- Calculate the ROUGE - N - grams for multiple sequences
- Return the length of the length of two sequences
- Get the version of therouge
- Return the long description
rouge Key Features
rouge Examples and Code Snippets
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)
Copyreturn {'username': credentials, 'func_result': json}
sorted([state.population for state in state_list], reverse=True)
def five_max_population(state_list):
states = []
populations = []
for state in sorted(state_list, key=lambda state: state.population, rev!pip install indic_nlp_library
from indicnlp.tokenize import sentence_tokenize, indic_tokenize
generated_sentences = []
for predicted_token_ids in torch.argmax(output.logits, dim=-1):
generated_sentences.append(tokenizer.decode(predicted_token_ids))
# For getting original sentences
original_sentences = []
for sent_ids in input_# get values to increment from source DF
InventaireDF = pd.merge(InventaireDF, RecetteDF[['Codes interne', 'Quantite requise']], how='left', on='Codes interne')
# when source does not contain matching key, the increment value will be NaN;In [3]: # mash keys to get a series with repeated values
...: s = pd.Series(list('abcoiansfaionawiaonwncawowc'))
In [4]: # get unique values and counts
...: u, c = np.unique(s, return_counts=True)
In [5]: # find all unique keys witfor question in questions:
print(question.prompt)
answer = input(''.join(question.answer_prompt))
....
De quels couleur sont les bananes ?
(a) Rouge
(b) Jaune
(c) Bleue
...
question1_answers_prompt = ["(a) Rouge", "(b) Jaune", "(c) Bleue", ]
question2_answers_prompt = ["(a) Rouge", "(b) Violette", "(c) Orange", ]
question3_answers_prompt = ["(a) Rouge", "(b) Verte", "(c) Jaune", ]
forreference = [[i.split() for i in ref]]
def find_my_bleu(text, w):
candidates_ = [text.split()]
return corpus_bleu(reference, candidates_, weights=w,
smoothing_function=cc.method4)
def get_finaldf = pd.DataFrame({'date': '2021-01-01', 'foo', '2021-03-31'})
# date
# 0 2021-01-01
# 1 foo
# 2 2021-03-31
df.date = pd.to_datetime(df.date, errors='coerce')
# date
# 0 2021-01-01
# Community Discussions
Trending Discussions on rouge
QUESTION
I have two large-ish data frames I am trying to append...
In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.
In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.
Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.
Edit: dput(df2)
...ANSWER
Answered 2022-Apr-18 at 03:52Here's one way you could turn state abbreviations into state names using R's built in state vectors:
QUESTION
I have an existing blog with Hugo and Asciidoctor, but running hugo server started failing. I first added the additional security configuration as explained in Hugo with Asciidoctor.
But things are still not working, I get this error:
...ANSWER
Answered 2022-Feb-20 at 10:34I managed to make it work again by removing RVM completely from my system using the commands in https://rvm.io/support/troubleshooting.
QUESTION
I have a fast api app. I would like to set up a basic HTTP auth like this (I know it is not safe but this is for test purposes):
...ANSWER
Answered 2022-Feb-22 at 13:15There is nothing in your code that indicates that a cookie is being used. The swagger UI might use a cookie to store the authentication information to avoid having to retype it for each request, but your own API does not seem to use cookies in any way.
For programmatic testing I suggest using TestClient instead.
When returning the data, you'll have to decide what makes sense, you can for example return two levels of data in a dictionary:
QUESTION
I am wanting to create a bar chart of top 5 populated states. My current function does not work for three reasons. 1) The most populated states are California,Texas,Florida,New York, and Pennsylvania. 2) The largest state the graph shows, california is the last one on the graph when it should be the first. 3) the y axis values are completely wrong. Not even numbering in the millions like the population does. Hope the question was clear. Thanks so much!
...ANSWER
Answered 2022-Feb-02 at 19:33The reason that your code doesn't work is that
QUESTION
I run a code in Google Colab and get the initial error
...ANSWER
Answered 2022-Jan-11 at 18:49It looks like you just pip installed the wrong library. On pypi I found another project called indic_nlp_library (github repo) that seems to have the packages you're looking for. I can get
QUESTION
I am trying to run this line of code below to copy the city.output column to pm.city where it is not NA (in my sample dataframe, nothing is NA though) because city.output contains the correct city spellings.
...ANSWER
Answered 2021-Dec-30 at 22:29The city.output is factor which gets coerced to integer storage values. Instead, convert to character with as.character
QUESTION
There are some raw rows with two or more addresses, I want to split them based on the last part of the Canadian postal code using a look-arround mechanism. The Canadian postal code format is A1A 1A1, where A is a letter and 1 is a digit, with a space separating the third and fourth characters.
Here is an example
160 Rue, Notre Dame N, Bureau 140, Sainte-Marie, G6E 3Z9 887 Chemin du Bord de l'Eau, Saint-Henri de Levis, G0R 3E0
I want to split the address based on the space after the last part of postal code if it exists The result:
...ANSWER
Answered 2021-Dec-24 at 18:03You can use
QUESTION
I have an array of the names of cities. also, I have an input that I want the any input value to be searched on the array, and synchronously show the input's placeholder according to city's name that started with input value, whenever that user typing a character.
a part of cities.json:
[ "Aberdeen", "Abilene", "Akron", "Albany", "Albuquerque", "Alexandria", "Allentown", "Amarillo", "Anaheim", "Anchorage", "Ann Arbor", "Antioch", "Apple Valley", "Appleton", "Arlington", "Arvada", "Asheville", "Athens", "Atlanta", "Atlantic City", "Augusta", "Aurora", "Austin", "Bakersfield", "Baltimore", "Barnstable", "Baton Rouge", "Beaumont", . . . . . . . . . . . . . . . "Wilmington", "Winston", "Winter Haven", "Worcester", "Yakima", "Yonkers", "York", "Youngstown" ]
index.jsx:
...ANSWER
Answered 2021-Dec-14 at 10:30the setState function is async, so if you want to use the newly state you have to provide a callback to setState and use the new state inside it. So, for example, in your case you have to do something like:
QUESTION
I have my two graphs on top of each other and I would like to put them next to each other but I don't know how to do it?
code :
...ANSWER
Answered 2021-Nov-29 at 18:32use subplots if you had two different datasets expeditions1 and expeditions2
QUESTION
I have a two tables colors and color_translations with structure like this:
colors
id created_at updated_at 1 2021-08-25 NULL 2 2021-09-01 NULLcolor_translations
id color_id locale title url 1 1 en blue blue-cat 2 1 fr bleu bleu-cat 3 1 de blau blau-cat 4 2 de rot rot-cat 5 2 fr rouge rouge-catI want to merge the colors table with only one of the record from color_translations table, the record will be based on the locale column, it will look at the en locale records first, if not exists then take from fr locale , then de locale
i tried to do it like this using my eloquent model:
...ANSWER
Answered 2021-Sep-11 at 09:20I don't know much laravel but the query should look like this:
(Using technique described by @Bill Karwin here with the best performance)
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