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plot_release_highlights_1_4_0.rst.txt
X_test, y_train, y_test = train_test_split(X_adult,...--sklearn-color-text-on-default-background: var(--sg-text-color, va...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_4_0.r... -
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 -
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 -
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 -
Cohere — Elastic Search Labs
transform text chunks into vector representations....instructions and generate useful text. These models can be accessed...www.elastic.co/search-labs/integrations/cohere -
AI & ML Search Engine - Take Search to the Next...
text classification, and named entity...named entity recognition and text classification. Semantic search...www.elastic.co/enterprise-search/machine-learning -
6.2. Feature extraction — scikit-learn 1.5.0 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 -
Elasticsearch retrievers - How to use search re...
Only returning the text version of names and overview..._source:false Standard - Search All the Text! GET /imdb_movies/_search?pretty...www.elastic.co/search-labs/blog/elasticsearch-retrievers -
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 -
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