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Reciprocal rank fusion | Reference
_id: 2 = 1.0/(1+3) + 1.0/(1+2) = 0.5833 _id: 3 = 1.0/(1+2) + 1.0/(1+1)...from=2, size=2 would return documents [ 2 , 3 ] with ranks [3, 4]...www.elastic.co/docs/reference/elasticsearch/rest-apis/reciprocal-rank-fusion -
LassoLarsIC — scikit-learn 1.8.0 documentation
[[ - 2 , 2 ], [ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]] >>>...>>> y = [ - 2.2222 , - 1.1111 , 0 , - 1.1111 , - 2.2222 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
3.4. Metrics and scoring: quantifying the quali...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/model_evaluation.html -
Ledoit-Wolf vs OAS estimation — scikit-learn 1....
subplot ( 2 , 1 , 2 ) plt . errorbar ( n_samples_range...shrinkage_ # plot MSE plt . subplot ( 2 , 1 , 1 ) plt . errorbar ( n_samples_range...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html -
Theil-Sen Regression — scikit-learn 1.8.0 docum...
Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
Spectral clustering for image segmentation — sc...
0 ]) ** 2 + ( y - center1 [ 1 ]) ** 2 < radius1 ** 2 circle2...0 ]) ** 2 + ( y - center2 [ 1 ]) ** 2 < radius2 ** 2 circle3...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html -
DistanceMetric — scikit-learn 1.8.0 documentation
HaversineDistance 2 arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy)))...'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> Y...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
RepeatedStratifiedKFold — scikit-learn 1.8.0 do...
index=[1 2] Fold 2: Train: index=[1 3] Test: index=[0 2] Fold 3:...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
mean_tweedie_deviance — scikit-learn 1.8.0 docu...
y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...>= 0 and y_pred > 0. 1 < p < 2 : Compound Poisson distribution....scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
d2_tweedie_score — scikit-learn 1.8.0 documenta...
Like R^2, D^2 score may be negative (it need..., power = 0 ) [source] # \(D^2\) regression score function, fraction...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html