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Normal, Ledoit-Wolf and OAS Linear Discriminant...
Analysis) vs." " \n " "LDA with Ledoit Wolf vs." " \n " "LDA with OAS...LinearDiscriminantAn ( solver = "lsqr" , shrinkage = "auto" ) . fit ( X , y )...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
binarize — scikit-learn 1.7.2 documentation
) array([[0., 1., 0.], [1., 0., 0.]]) On this page This Page...0.5 ], [ 0.6 , 0.1 , 0.2 ]] >>> binarize ( X , threshold = 0.5 )...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.binarize.html -
inplace_csr_column_scale — scikit-learn 1.7.2 d...
todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0, 0, 0]]) >>>...todense () matrix([[16, 3, 4], [ 0, 0, 10], [ 0, 0, 0], [ 0, 0, 0]])...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
gen_batches — scikit-learn 1.7.2 documentation
list ( gen_batches ( 7 , 3 )) [slice(0, 3, None), slice(3, 6, None),...3 , min_batch_size = 0 )) [slice(0, 3, None), slice(3, 6, None),...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html -
safe_mask — scikit-learn 1.7.2 documentation
condition ) >>> data [ mask ] . toarray () array([[2], [3], [5]]) On...[ 2 ], [ 3 ], [ 4 ], [ 5 ]]) >>> condition = [ False , True ,...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html -
8. Dataset loading utilities — scikit-learn 1.7...
datasets 8.1.1. Iris plants dataset 8.1.2. Diabetes dataset 8.1.3. Optical...dataset 8.2.4. Forest covertypes 8.2.5. RCV1 dataset 8.2.6. Kddcup...scikit-learn.org/stable/datasets.html -
9. Computing with scikit-learn — scikit-learn 1...
management, and configuration 9.3.1. Parallelism 9.3.2. Configuration...Computational Performance 9.2.1. Prediction Latency 9.2.2. Prediction Throughput...scikit-learn.org/stable/computing.html -
2. Unsupervised learning — scikit-learn 1.7.2 d...
clustering 2.3.7. DBSCAN 2.3.8. HDBSCAN 2.3.9. OPTICS 2.3.10. BIRCH...2.1. Gaussian mixture models 2.1.1. Gaussian Mixture 2.1.2. Variational...scikit-learn.org/stable/unsupervised_learning.html -
Categorical Feature Support in Gradient Boostin...
"Functional" , "MasVnrType" , "HouseStyle" , "FireplaceQu" , "ExterCond"...[ "3SsnPorch" , "Fireplaces" , "BsmtHalfBath" , "HalfBath" , "GarageCars"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_categorical.html -
Curve Fitting with Bayesian Ridge Regression — ...
set_ylim ( - 1.3 , 1.3 ) ax . legend () title = "$ \\ alpha$_init$=...size ) x_test = np . linspace ( 0.0 , 1.0 , 100 ) Fit by cubic polynomial...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html