- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1091 - 1100 of 1,745 for document (1.5 sec)
-
lars_path_gram — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version lars_path_gram # sklearn.linear_model. lars_path_gram...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html -
compute_class_weight — scikit-learn 1.7.2 docum...
Skip to main content Back to top Ctrl + K GitHub Choose version compute_class_weight # sklearn.utils.class_weight. co...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_class_weight.html -
Scalable learning with polynomial kernel approx...
This example illustrates the use of PolynomialCountSketch to efficiently generate polynomial kernel feature-space approximations. This is used to train linear classifiers that approximate the accur...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Non-negative least squares — scikit-learn 1.7.2...
In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
Demonstration of multi-metric evaluation on cro...
Multiple metric parameter search can be done by setting the scoring parameter to a list of metric scorer names or a dict mapping the scorer names to the scorer callables. The scores of all the scor...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
Manifold learning on handwritten digits: Locall...
We illustrate various embedding techniques on the digits dataset. Load digits dataset: We will load the digits dataset and only use six first of the ten available classes. We can plot the first hun...scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html -
One-class SVM with non-linear kernel (RBF) — sc...
An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or differen...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
feature_extraction.rst.txt
in the document. Sparsity -------- As most documents will typically...first document.', ... 'This is the second second document.', ......scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
ChatGPT and Elasticsearch: OpenAI meets private...
proprietary software or internal documentation. Users should, therefore,...ChatGPT access to specific documents relevant to your domain and...www.elastic.co/search-labs/blog/chatgpt-elasticsearch-openai-meets-private-data -
Building a RAG System With Gemma, Hugging Face ...
Document chunking Document chunking in RAG refers...split this one document into three documents (three different...www.elastic.co/search-labs/blog/building-a-rag-system-with-gemma-hugging-face-elasticsearch