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test.txt.bz2
Lorem ipsum text - Japanese text (吾輩は猫である) - Test data for search...test.txt Test Content for Archive Files テスト用アーカイブファイルのコンテンツ Lorem...raw.githubusercontent.com/codelibs/fess-testdata/master/files/archive/test.txt.bz2 -
Column Transformer with Heterogeneous Data Sour...
"length" : len ( text ), "num_sentences" : text . count (...types (e.g. raster images and text captions), your dataset is stored...scikit-learn.org/stable/auto_examples/compose/plot_column_transformer.html -
Google Vertex AI - Elasticsearch Labs
text and images, and then return a text response. Gemini...of customers. Text embeddings Embeddings for Text (textembedding-gecko)...www.elastic.co/search-labs/integrations/google -
FeatureHasher and DictVectorizer Comparison ...
Clustering text documents using k-means Clustering text documents...In this example we illustrate text vectorization, which is the...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
What is Natural Language Processing (NLP)? | A ...
include text mining, which takes large amounts of text and breaks...tone over a text message or email, for example. Text is published...www.elastic.co/what-is/natural-language-processing -
custom.css
sk-text-image-grid-small div.text-box, div.sk-text-image-grid-small...div.sk-text-image-grid-small div.text-box, div.sk-text-image-grid-small...scikit-learn.org/stable/_static/styles/custom.css -
HashingVectorizer — scikit-learn 1.8.0 do...
classification of text documents Out-of-core classification of text documents...Clustering text documents using k-means Clustering text documents...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
7.2. Feature extraction — scikit-learn 1....
1\) \(\text{tf-idf}_{\text{term1}} = \text{tf} \times \text{idf}...document-frequency : \(\text{tf-idf(t,d)}=\text{tf(t,d)} \times \text{idf(t)}\)...scikit-learn.org/stable/modules/feature_extraction.html -
3.4. Metrics and scoring: quantifying the quali...
(pre-test and post-tests): \[\text{post-test odds} = \text{Likelihood...recall: \[\text{precision} = \frac{\text{tp}}{\text{tp} + \text{fp}},\]...scikit-learn.org/stable/modules/model_evaluation.html -
preprocessing.rst.txt
K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...\tilde{K} = K - 1_{\text{n}_{samples}} K - K 1_{\text{n}_{samples}}...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt