dumbo | Python module

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Python module that allows one to easily write and run Hadoop programs.

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Community Discussions

Trending Discussions on dumbo

Dummy coding syntax (one hot coding question)

How can I get indexes after getting NER results?

Extract a matching substring in a python string

How to add a second annotation to an already annotated queryset with django models

How to query a Django model (table) and add two related fields from another model (table)? - annotate - left outer join

Group DF by hour of day

How to install rpm to /usr/bin instead of /opt/app-root/bin

Python API Unable to GET request using aiohttp

Extra Spaces after custom prefix [Discord.py]

Named Entity Recognition with Huggingface transformers, mapping back to complete entities

QUESTION

Dummy coding syntax (one hot coding question)

Asked 2022-Mar-24 at 11:13

I have sample data that looks like this:

...

ANSWER

Answered 2022-Mar-24 at 05:48

library(tidyverse)


df %>% 
  left_join(
  df %>% 
    pivot_longer(c(dg1, dg2)) %>% 
    filter(value != "") %>% 
    pivot_wider(c(id, O), names_from = value) %>% 
    mutate(across(c(A02:Z83), ~if_else(is.na(.x), 0, 1)))
  )

Joining, by = c("id", "O")
    id O dg1 dg2 A02 B18 A84 N34 B12 C94 M01 D37 D12 J02 D68 K52 E12 F48 I10 H12 Z83
1   1a 1 A02 B18   1   1   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0
2   2c 1 A84 N34   0   0   1   1   0   0   0   0   0   0   0   0   0   0   0   0   0
3   3d 0 B12 A02   1   0   0   0   1   0   0   0   0   0   0   0   0   0   0   0   0
4   4f 1 C94 M01   0   0   0   0   0   1   1   0   0   0   0   0   0   0   0   0   0
5   5g 1 D37 B12   0   0   0   0   1   0   0   1   0   0   0   0   0   0   0   0   0
6   6e 0 D12 J02   0   0   0   0   0   0   0   0   1   1   0   0   0   0   0   0   0
7   7f 0 D68 K52   0   0   0   0   0   0   0   0   0   0   1   1   0   0   0   0   0
8   8q 1 E12       0   0   0   0   0   0   0   0   0   0   0   0   1   0   0   0   0
9   9r 0 F48 I10   0   0   0   0   0   0   0   0   0   0   0   0   0   1   1   0   0
10 10v 1 H12       0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   1   0
11 11x 0 Z83       0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0   1
12 12l 1     B18   0   1   0   0   0   0   0   0   0   0   0   0   0   0   0   0   0

Source https://stackoverflow.com/questions/71597366

QUESTION

How can I get indexes after getting NER results?

Asked 2021-Oct-22 at 22:41

model = AutoModelForTokenClassification.from_pretrained("dbmdz/bert-large-cased-finetuned-conll03-english")
tokenizer = BertTokenizer.from_pretrained("bert-base-cased")
from transformers import LukeTokenizer
from transformers import PreTrainedTokenizerFast



label_list = [
    "O",       # Outside of a named entity
    "B-MISC",  # Beginning of a miscellaneous entity right after another miscellaneous entity
    "I-MISC",  # Miscellaneous entity
    "B-PER",   # Beginning of a person's name right after another person's name
    "I-PER",   # Person's name
    "B-ORG",   # Beginning of an organisation right after another organisation
    "I-ORG",   # Organisation
    "B-LOC",   # Beginning of a location right after another location
    "I-LOC"    # Location
]

sequence = "Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO, therefore very" \
           "close to the Manhattan Bridge."

# Bit of a hack to get the tokens with the special tokens
tokens = tokenizer.tokenize(tokenizer.decode(tokenizer.encode(sequence)))
inputs = tokenizer.encode(sequence, return_tensors="pt")

outputs = model(inputs)[0]
predictions = torch.argmax(outputs, dim=2)

print([(token, label_list[prediction]) for token, prediction in zip(tokens, predictions[0].tolist())])

output:    [('[CLS]', 'O'), ('Hu', 'I-ORG'), ('##gging', 'I-ORG'), ('Face', 'I-ORG'), ('Inc', 'I-ORG'), 
    ('.', 'O'), ('is', 'O'), ('a', 'O'), ('company', 'O'), ('based', 'O'), ('in', 'O'), ('New', 'I-
    LOC'), ('York', 'I-LOC'), ('City', 'I-LOC'), ('.', 'O'), ('Its', 'O'), ('headquarters', 'O'), 
    ('are', 'O'), ('in', 'O'), ('D', 'I-LOC'), ('##UM', 'I-LOC'), ('##BO', 'I-LOC'), (',', 'O'), 
    ('therefore', 'O'), ('very', 'O'), ('##c', 'O'), ('##lose', 'O'), ('to', 'O'), ('the', 'O'), 
    ('Manhattan', 'I-LOC'), ('Bridge', 'I-LOC'), ('.', 'O'), ('[SEP]', 'O')]

...

ANSWER

Answered 2021-Oct-22 at 22:41

All you are trying to achieve is already available as tokenclassificationpipeline:

Source https://stackoverflow.com/questions/69665266

QUESTION

Extract a matching substring in a python string

Asked 2021-Jun-23 at 07:32

I'm trying to extract a substring from a large string that matches my pattern.

...

ANSWER

Answered 2021-Jun-23 at 07:06

You may consider this approach:

Source https://stackoverflow.com/questions/68095026

QUESTION

How to add a second annotation to an already annotated queryset with django models

Asked 2021-Mar-29 at 08:40

I want to create a queryset with following columns

movie.id | movie.title | movie.description | movie.maximum_rating | movie.maximum_rating_user

Below are my models and the code I have tried.

models.py

...

ANSWER

Answered 2021-Mar-26 at 15:27

You can work with a Subquery expression [Django-odc] to determine the user with the highest review:

Source https://stackoverflow.com/questions/66819636

QUESTION

How to query a Django model (table) and add two related fields from another model (table)? - annotate - left outer join

Asked 2021-Mar-25 at 11:09

I want to get one specific row (object) from the Movie model(table) and add the maximum rating and the user who posted the maximum rating. Like so:

movie.id | movie.title | movie.description | movie.maximum_rating | movie.maximum_rating_user

Below is is the code I tried. Unfortunately, my query is returning a queryset which the get() method is not able to work with.

models.py

...

ANSWER

Answered 2021-Mar-24 at 22:51

Simple is better than complex

Source https://stackoverflow.com/questions/66789545

QUESTION

Group DF by hour of day

Asked 2021-Mar-16 at 05:50

I've read a bunch of threads, but I can't find what I'm looking for in Apache Spark (though I've found it in PySpark, which I cannot use). I'm pretty close with what I have, but I have a few questions.

I'm working off a DF that looks like the following

PULocationID pickup_datetime number_of_pickups Borough Zone 75 2019-01-19 02:13:00 5 Brooklyn Williamsburg 255 2019-01-19 12:05:00 8 Brooklyn Williamsburg 99 2019-01-20 12:05:00 3 Brooklyn DUMBO 102 2019-01-01 02:05:00 1 Brooklyn DUBMO 10 2019-01-07 11:05:00 13 Brooklyn Park Slope 75 2019-01-01 11:05:00 2 Brooklyn Williamsburg 12 2019-01-11 01:05:00 1 Brooklyn Park Slope 98 2019-01-28 01:05:00 8 Brooklyn DUMBO 75 2019-01-10 00:05:00 8 Brooklyn Williamsburg 255 2019-01-11 12:05:00 12 Brooklyn DUMBO

I need to pull the zone with the highest number of pickups by hour of day. Hour of Day needs to be an integer, zone a string, and max_count integer.

hour_of_day zone max_count 0 Williamsburg 8 1 DUMBO 8 2 Williamsburg 5 11 Park Slope 13 12 DUMBO 15

Here's what I had:

...

ANSWER

Answered 2021-Mar-16 at 05:50

The trick is convert the string type to timestamp type and use SQL function to extract hour and then use Window spec with row_number(), finally filter row number 1.

Check the online code version @ https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/8963851468310921/992546394267440/5846184720595634/latest.html

Source https://stackoverflow.com/questions/66647892

QUESTION

How to install rpm to /usr/bin instead of /opt/app-root/bin

Asked 2020-Dec-02 at 11:40

I'm trying to create rpm package for Centos7. So I create Dockerfile from Centos7 image and build rpm inside. It build successfully, but there is one problem: when I try to use this rpm as package in other Dockerfiles it installs into /opt/app-root/bin when I need to install it to usr/bin.

Here is my Dockerfile for building rpm (I also install it inside just to check it works):

...

ANSWER

Answered 2020-Dec-02 at 11:40

I start to think that my problem is a wrong image chosen to built app. I tried to use another one:

Source https://stackoverflow.com/questions/65024878

QUESTION

Python API Unable to GET request using aiohttp

Asked 2020-Oct-19 at 03:45

I'm trying to make my own api using aiohttp. It works perfectly fine on localhost:8080, Is there a way to connect it into heroku site , I tried to load with https://dumboapi.herokuapp.com/getmeme/ but it doesn't work :/ This is my code:

...

ANSWER

Answered 2020-Oct-15 at 05:12

On Heroku you have to use the TCP port that Heroku will give you in the PORT environment variable. SSL termination etc will be handled by the Heroku routing layer.

It should work if you change your code (roughly) into:

Source https://stackoverflow.com/questions/64347185

QUESTION

Extra Spaces after custom prefix [Discord.py]

Asked 2020-Sep-14 at 05:29

I tried to make a custom prefix commands, but just to make it efficient, i'm going to add extra spaces into it, if the prefix containing a alphabetical character(a-z), but when I use this, it says that the new_prefix is referenced before assignment, it works, I'm just wondering why?

...

ANSWER

Answered 2020-Sep-14 at 05:29

That's because you define new_prefix in the if statement, so new_prefix will only be a thing if that if statement is True which can sometimes be False, so it says used before defining.

If you do new_prefix = '' at the starting of the command or else statement, it should resolve the error

Source https://stackoverflow.com/questions/63877182

QUESTION

Named Entity Recognition with Huggingface transformers, mapping back to complete entities

Asked 2020-Aug-03 at 15:26

I'm looking at the documentation for Huggingface pipeline for Named Entity Recognition, and it's not clear to me how these results are meant to be used in an actual entity recognition model.

For instance, given the example in documentation:

...

ANSWER

Answered 2020-Aug-03 at 15:26

The pipeline object can do that for you when you set the parameter grouped_entities to True.

Source https://stackoverflow.com/questions/63221913

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