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Super Bowl halftime performer charged for runni...
a Palestinian flag with the words "Gaza" and "Sudan" as rapper...waving a flag that included the words “Sudan and Free Gaza,” Louisiana...www.nbcnews.com/sports/nfl/super-bowl-halftime-performer-charged-running-field-sudan-free-gaza-fl... -
Introducing Elastic Learned Sparse Encoder: Ela...
not just words With 8.8, Elastic offers semantic...captures relationships between words on the conceptual level, understanding...www.elastic.co/search-labs/blog/introducing-elastic-learned-sparse-encoder-elser -
FeatureHasher and DictVectorizer Comparison — s...
functions # A token may be a word, part of a word or anything comprised...between the words in a sentence is often called a Bag of Words representation...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
java-editor-templates.xml
b_tag" name="">${word_selection}${}${cursor}true javadoc...mplates.code_tag" name="">${word_selection}${}${cursor}true javadoc...dbflute.seasar.org/download/patch/handson/20140921_templates/java-editor-templates.xml -
It's "Parasite" at No. 1 | MetaFilter
so you don't have to take my word for it. posted by DirtyOldTown...Commander: Far Side of the World is some Weir I can't manage...www.metafilter.com/209368/Its-Parasite-at-No-1 -
Classification of text documents using sparse f...
documents by topics using a Bag of Words approach . This example uses...max_df = 0.5 , min_df = 5 , stop_words = "english" ) X_train = vectorizer...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
1.5. Stochastic Gradient Descent — scikit-learn...
word frequencies or indicator features)...We found that Averaged SGD works best with a larger number of...scikit-learn.org/stable/modules/sgd.html -
feed
include the word food but instead contained words like “dinner”...#ccc; padding: 4px; The words or word roots in the question are...www.elastic.co/search-labs/rss/feed -
auto_examples_python.zip
onzero()[0] word_col = X[:, cluster_words] word_scores = np.array(...:].sum(axis=0) ) word_scores = word_scores.ravel() important_words = list(...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
When hybrid search truly shines - Elasticsearch...
good when users know the exact words. This approach will find the...the score. But, what if the words in the query are not present...www.elastic.co/search-labs/blog/elasticsearch-hybrid-search