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6.2. Feature extraction — scikit-learn 1.4.2 do...
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 -
3.3. 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}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
NLP vs. LLMs: Understanding the differences | E...
Fueled by massive amounts of text data, they can learn to predict...key information from massive text data sets, like summarizing...www.elastic.co/blog/nlp-vs-llms -
sklearn.datasets.fetch_20newsgroups — scikit-le...
on a Text Dataset Semi-supervised Classification on a Text Dataset...Classification of text documents using sparse features Clustering text documents...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
feed.xml
"text_chunk": { "type": "text" //the text from which...if you want to test it: PUT test_index-1 GET test_index-1 Notes...www.elastic.co/search-labs/rss/feed.xml -
286a37e9afff48dc.css
text-center{text-align:center}.text-right{text-align:...ect-text{-webkit-user-select:text;-moz-user-select:text;user...www.elastic.co/search-labs/_next/static/css/286a37e9afff48dc.css -
sg_gallery-rendered-html.css
var(--sg-text-color); background-color: var(--sg-text-color);...html[data-theme="light"] { --sg-text-color: #000; --sg-background-color:...scikit-learn.org/stable/_static/sg_gallery-rendered-html.css -
6.6. Random Projection — scikit-learn 1.4.2 doc...
-\sqrt{\frac{s}{n_{\text{components}}}} & & 1 / 2s\\ 0 &\text{with probability}...1 / s \\ +\sqrt{\frac{s}{n_{\text{components}}}} & & 1 / 2s\\...scikit-learn.org/stable/modules/random_projection.html -
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