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The open source ecosystem of watsonx
training jobs for models with over 10 billion parameters over Ethernet-based...such as transformers (which has 100k+ GitHub stars!), accelerate,...developer.ibm.com/articles/awb-the-open-source-ecosystem-of-watsonx/ -
Create an intelligent search app using Watson D...
developer.ibm.com/tutorials/create-an-intelligent-search-app-using-watson-discovery-ui-components/ -
Using the Watson Natural Language Understanding...
"text_units" : 1 , "text_characters" : 89 , "features" : 0 }, "syntax"...i/v1/analyze ? version =2019-01-27' \ --header "Authorization:...developer.ibm.com/articles/a-deeper-look-at-the-syntax-api-feature-within-watson-nlu/ -
Granite models - Articles - IBM Developer
08 October 2025 Article Granite...stability in model performance. 01 August 2025 Article Is your AI...developer.ibm.com/components/granite-models/articles/ -
Add Watson Discovery skills to your watsonx Ass...
Use the Watson Discovery search skill to help users find information from within the dialog of a chatbot.developer.ibm.com/tutorials/add-watson-discovery-skills-to-your-watson-assistant-chatbot/ -
Species distribution modeling — scikit-learn 1....
OneClassSVM ( nu = 0.1 , kernel = "rbf" , gamma = 0.5 ) clf . fit...randint ( low = 0 , high = data . Ny , size = 10000 ), np . random...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Recursive feature elimination with cross-valida...
n_repeated = 0 , n_classes = 8 , n_clusters_per_class = 1 , class_sep...class_sep = 0.8 , random_state = 0 , ) Model training and selection...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html -
Gaussian process classification (GPC) on iris d...
h = 0.02 # step size in the mesh kernel = 1.0 * RBF ([ 1.0 ])...( X , y ) kernel = 1.0 * RBF ([ 1.0 , 1.0 ]) gpc_rbf_anisotropic...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html -
Feature importances with a forest of trees — sc...
be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
Hashing feature transformation using Totally Ra...
( factor = 0.5 , random_state = 0 , noise = 0.05 ) # use RandomTreesEmbedding...y_max]. h = 0.01 x_min , x_max = X [:, 0 ] . min () - 0.5 , X [:,...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html