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Lasso on dense and sparse data — scikit-learn 1...
y = make_regression ( n_samples = 200 , n_features = 5000...coo_matrix ( X ) alpha = 1 sparse_lasso = Lasso ( alpha = alpha , fit_intercept...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
partial_dependence — scikit-learn 1.6.1 documen...
sample_weight = None , categorical_features = None , feature_names = None...grid_resolution = 100 , method = 'auto' , kind = 'average' ) [source]...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
MultiTaskElasticNet — scikit-learn 1.6.1 docume...
copy_X = True , max_iter = 1000 , tol = 0.0001 , warm_start = False...l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
Rothko Chapel | MetaFilter
<div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...www.metafilter.com/208156/Rothko-Chapel -
Visualization of MLP weights on MNIST — scikit-...
max_iter = 8 , alpha = 1e-4 , solver = "sgd" , verbose = 10 , random_state...return_X_y = True , as_frame = False ) X = X / 255.0 # Split data...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
MetaTalk
<div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...metatalk.metafilter.com -
column_or_1d — scikit-learn 1.6.1 documentation
dtype = None , warn = False , device = None ) [source]...data. dtype data-type, default=None Data type for y . Added in...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html -
check_X_y — scikit-learn 1.6.1 documentation
accept_sparse = False , * , accept_large_sparse = True , dtype = 'numeric'...'numeric' , order = None , copy = False , force_writeable = False , force_all_finite...scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html -
mean_absolute_error — scikit-learn 1.6.1 docume...
sample_weight = None , multioutput = 'uniform_average' )...mean_absolute_error >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
incr_mean_variance_axis — scikit-learn 1.6.1 do...
axis = 0 , last_mean = np . zeros ( 3 ), last_var = np . zeros...(n_features,) if axis=0 or (n_samples,) if axis=1. last_var ndarray...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html