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test.sql
('Test Document', 'This is a test document for Fess...title - Lorem ipsum', content TEXT COMMENT 'Document content -...raw.githubusercontent.com/codelibs/fess-testdata/master/files/source_code/test.sql -
sg_gallery-dataframe.css
html[data-theme="light"] { --sg-text-color: #000; --sg-tr-odd-color:...html[data-theme="dark"] { --sg-text-color: #fff; --sg-tr-odd-color:...scikit-learn.org/stable/_static/sg_gallery-dataframe.css -
7.7. Kernel Approximation — scikit-learn ...
\(\mathcal{O}(n_{\text{samples}}(n_{\text{features}} + n_{\text{components}}...\(\mathcal{O}(n^2_{\text{components}} \cdot n_{\text{samples}})\) ,...scikit-learn.org/stable/modules/kernel_approximation.html -
Natural language processing - IBM Developer
and semantic interpretation of text, which allows systems to learn,...August 2024 Tutorial Tokenizing text in Python Use tokenizers from...developer.ibm.com/technologies/natural-language-processing -
clustering.rst.txt
math:: \text{ARI} = \frac{\text{RI} - E[\text{RI}]}{\max(\text{RI})...math:: \text{AMI} = \frac{\text{MI} - E[\text{MI}]}{\text{mean}(H(U),...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
linear_model.rst.txt
cost of :math:`O(n_{\text{samples}} n_{\text{features}}^2)`, assuming...that :math:`n_{\text{samples}} \geq n_{\text{features}}`. .....scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
Evaluating generic phrases using Granite models...
print the response text. print (response[ 'text' ]) Copy code Copied!...import pipeline pipe = pipeline( "text-generation" , model =model,...developer.ibm.com/articles/generics-granite/ -
TfidfVectorizer — scikit-learn 1.8.0 docu...
Classification of text documents using sparse features Clustering text documents...class sklearn.feature_extraction.text. TfidfVectorizer ( * , input='content'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
fbeta_score — scikit-learn 1.8.0 document...
\beta^2) \text{tp}} {(1 + \beta^2) \text{tp} + \text{fp} + \beta^2...\beta^2 \text{fn}}\] Where \(\text{tp}\) is the number of true...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
Cohere - Elasticsearch Labs
transform text chunks into vector representations....instructions and generate useful text. These models can be accessed...www.elastic.co/search-labs/integrations/cohere