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calinski_harabasz_score — scikit-learn 1.5.2 do...
Skip to main content Back to top Ctrl + K GitHub calinski_harabasz_score # sklearn.metrics. calinski_harabasz_score (...scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html -
Compressive sensing: tomography reconstruction ...
l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) ** 2 mask...np . float64 ) center = l_x / 2.0 X += 0.5 - center Y += 0.5 -...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
'Meta's Newly Released Large Language Model Lla...
( Score: 2 ) by writes: Not for LLaMA-2, and it's under...credit." ( Score: 2 ) by writes: But LLaMA-2 weights are totally...news.slashdot.org/story/23/07/21/2111220/metas-newly-released-large-language-model-llama-2-is-not... -
Quantile regression — scikit-learn 1.5.2 docume...
subplots ( nrows = 2 , ncols = 2 , figsize = ( 15 , 11 ),...scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html -
top_k_accuracy_score — scikit-learn 1.5.2 docum...
2 , 2 ]) >>> y_score = np . array ([[ 0.5 , 0.2 , 0.2 ], #...top 2 ... [ 0.3 , 0.4 , 0.2 ], # 1 is in top 2 ... [ 0.2 , 0.4...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
Ridge coefficients as a function of the L2 Regu...
- X \beta \|^{2}_{2} + \alpha \| \beta \|^{2}_{2}\) where \(X\)...side (e.g. \(\|y - X\beta\|^{2}_{2}\) ) measures the squared difference...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
Plot randomly generated multilabel dataset — sc...
1500 * p_c ** 2 , color = COLORS . take ([ 1 , 2 , 4 ]), ) ax...means the class is present: 1 2 3 Color Y N N Red N Y N Blue N...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html -
GMM Initialization Methods — scikit-learn 1.5.2...
subplot ( 2 , len ( methods ) // 2 , n + 1 ) start =...figsize = ( 4 * len ( methods ) // 2 , 6 )) plt . subplots_adjust (...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html -
6.4. Imputation of missing values — scikit-lear...
2. Univariate feature imputation...'mean' ) >>> imp . fit ([[ 1 , 2 ], [ np . nan , 3 ], [ 7 , 6 ]])...scikit-learn.org/stable/modules/impute.html -
dict_learning_online — scikit-learn 1.5.2 docum...
_Fro ^ 2 + alpha * || U || _1 , 1 ( U , V ) with || V_k || _2 = 1...X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html