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Maximize your data potential and drive smarter ...
analytics By Pratik Sinha Likes 2 Save As businesses strive to turn...associated with data duplication. 2. Unified analytics and AI workloads...developer.ibm.com/blogs/awb-watsonx-data-cloudera-powering-ai-analytics/ -
Release Highlights for scikit-learn 1.5 —...
nothing; each false negative costs 2; each false positive costs 0.1...."all" ) . ravel () return tp - 2 * fn - 0.1 * fp print ( "Untuned...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
CountVectorizer — scikit-learn 1.8.0 docu...
2) means unigrams and bigrams, and (2, 2) means only...'word' , ngram_range = ( 2 , 2 )) >>> X2 = vectorizer2...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
Wikipedia principal eigenvector — scikit-...
0 ])] = short_name ( split [ 2 ]) if l % 1000000 == 0 : print...index_map , short_name ( split [ 2 ])) links . append (( i , j ))...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
RandomForestRegressor — scikit-learn 1.8....
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
Demystifying Liberty for WebSphere administrato...
11:2 1:1 IBM Cloud Pak for Applications Advanced 11:2 3:2 IBM...can run this on-premises. Myth #2. Liberty does not have centralized...developer.ibm.com/articles/demystifying-liberty-websphere-admins/ -
DictVectorizer — scikit-learn 1.8.0 docum...
'bar' : 2 }, { 'foo' : 3 , 'baz'...( D ) >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
SVM with custom kernel — scikit-learn 1.8...
: 2 ] # we only take the first two...""" We create a custom kernel: (2 0) k(X, Y) = X ( ) Y.T (0 1) """...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
SVM: Weighted samples — scikit-learn 1.8....
n_features = 2 , n_informative = 2 , n_redundant = 0 ,..., axes = plt . subplots ( 1 , 2 , figsize = ( 14 , 6 )) plot_decision_function...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
GradientBoostingRegressor — scikit-learn ...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...'friedman_mse' , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html