- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 391 - 400 of 2,023 for = (0.08 sec)
-
SGDRegressor — scikit-learn 1.7.1 documentation
tol = 0.001 , shuffle = True , verbose = 0 , epsilon = 0.1 , random_state...( loss = 'squared_error' , * , penalty = 'l2' , alpha = 0.0001...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
feature_extraction.rst.txt
_feature_extraction: ========== Feature extraction ========== .. currentmodule::...Loading features from dicts ========== The class :class:`DictVectorizer`...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
poisson_gamma_tweedie_distributions.png
encoding=ISO-8859-1, compression=none keyword=Software, value=matplotlib...0.2540005 width=1200, height=350, bitDepth=8, colorType=RGBAlpha, ...scikit-learn.org/stable/_images/poisson_gamma_tweedie_distributions.png -
Robust linear model estimation using RANSAC — s...
linear_model n_samples = 1000 n_outliers = 50 X , y , coef = datasets . make_regression...n_samples = n_samples , n_features = 1 , n_informative = 1 , noise...scikit-learn.org/stable/auto_examples/linear_model/plot_ransac.html -
LocallyLinearEmbedding — scikit-learn 1.7.1 doc...
n_neighbors = 5 , n_components = 2 , reg = 0.001 , eigen_solver = 'auto'...'auto' , tol = 1e-06 , max_iter = 100 , method = 'standard' , hessian_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html -
DecisionBoundaryDisplay — scikit-learn 1.7.1 do...
multiclass_colors = None , xlabel = None , ylabel = None , ax = None , **...plot_method = 'contourf' , ax = None , xlabel = None , ylabel = None...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
Demonstration of multi-metric evaluation on cro...
alpha = 0.1 if sample == "test" else 0 , color = color , )...style , color = color , alpha = 1 if sample == "test" else 0.7...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
HashingVectorizer — scikit-learn 1.7.1 document...
binary=False , norm='l2' , alternate_sign=True , dtype=<class..., input='content' , encoding='utf-8' , decode_error='strict'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html -
Release Highlights for scikit-learn 1.3 — sciki...
random_state = rng ) coef = rng . uniform ( low =- 10 , high = 20 , size...size = n_features ) y = rng . gamma ( shape = 2 , scale = np ....scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
Better Binary Quantization (BBQ) in Lucene and ...
max_{v_{c1}'}=max(v_{c1}')=0.19,min_{v_{c1}'}=min(v_{c1}')=-0.38 Q(x_{s})...bin(v_{c1}') = [0, 1, 1, 0, 0, 0, 0, 0] 0b00000110 = 6 v 1 = [ 0.56...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch
