python (65.1k questions)

javascript (44.2k questions)

reactjs (22.7k questions)

java (20.8k questions)

c# (17.4k questions)

html (16.3k questions)

r (13.7k questions)

android (12.9k questions)

Questions - tf-idf

make_pipeline()f TypeError: All intermediate steps should be transformers and implement fit and transform or be the string 'passthrough'

I am trying to make a stacked classifier that uses count vectorization, gradient boosting and then Naive baised. However, I get a type error for my make_pipeline function. from sklearn.pipeline import...
test-img

Kaustubh Kaushal

python

machine-learning

scikit-learn

tf-idf

Votes: 0

Answers: 1

Latest Answer

make_pipeline does not accept names for its steps, and the steps need to be provided as a tuple. Either: estimators = [make_pipeline(( CountVectorizer(min_df=1, stop_words= 'english', ngram_range...
test-img

Ben Reiniger

Efficiently compute cosine similarity

I have a bank of about 100k strings and when I get a new string, I want to match it to the most similar string. My thoughts were to use tf-idf (makes sense as keywords are quite important), then match...
test-img

user112633

python

pandas

tf-idf

cosine-similarity

Votes: 0

Answers: 1

Latest Answer

Consider using vectorized computations rather than looping over DataFrame rows (which is very slow and should be avoided). I'm not sure how the arrays are represented in the dataframe, so make sure yo...
test-img

Yoav Tulpan

Indexing/search algorithm stability between versions

I'm migrating from Elasticsearch 1.5 to 7.10 there are multiple required changes, the most relevant one is the removal of the document type concept in version 6, to deal with it I introduced a new fie...
test-img

Alvaro Denis Acosta

elasticsearch

indexing

tf-idf

Votes: 0

Answers: 1

Latest Answer

First, since you don't care about scoring you should use bool/filter instead of bool/must at the top level, otherwise your results are sorted by _score by default and between 1.7 et 7.10, there have ...
test-img

Val

Get zero tf_idf from dfm with quanteda r

I want to create a Document-feature matrix with tf_idf as weights. If I calculate the tf_idf like in https://quanteda.io/reference/dfm_tfidf.html, I get only zeros. The same if I try to get tf_idf wit...
test-img

padul

r

nlp

tf-idf

quanteda

tidytext

Votes: 0

Answers: 0

Posts

Questions

Blogs

Jobs