- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1151 - 1160 of 1,992 for = (0.07 sec)
-
MLPClassifier — scikit-learn 1.6.1 documentation
learning_rate_init = 0.001 , power_t = 0.5 , max_iter = 200 , shuffle = True...random_state = None , tol = 0.0001 , verbose = False , warm_start = False...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html -
about.rst.txt
_about: ======== About us ======== History ======= This project...contribution. Governance ========== The decision making process...scikit-learn.org/stable/_sources/about.rst.txt -
Test with permutations the significance of a cl...
clf = SVC ( kernel = "linear" , random_state = 7 ) cv = StratifiedKFold...load_iris iris = load_iris () X = iris . data y = iris . target...scikit-learn.org/stable/auto_examples/model_selection/plot_permutation_tests_for_classification.html -
matthews_corrcoef — scikit-learn 1.6.1 document...
>>> y_true = [ + 1 , + 1 , + 1 , - 1 ] >>> y_pred = [ + 1 , -..., y_pred , * , sample_weight = None ) [source] # Compute the...scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html -
TfidfVectorizer — scikit-learn 1.6.1 documentation
min_df=1 , max_features=None , vocabulary=None , binary=False..., input='content' , encoding='utf-8' , decode_error='strict'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html -
governance.rst.txt
_governance: ========== Scikit-learn governance and decision-making...decision-making ========== The purpose of this document is to formalize...scikit-learn.org/stable/_sources/governance.rst.txt -
calinski_harabasz_score — scikit-learn 1.6.1 do...
_ = make_blobs ( random_state = 0 ) >>> kmeans = KMeans...KMeans ( n_clusters = 3 , random_state = 0 ,) . fit ( X ) >>> calinski_harabasz_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html -
Failure of Machine Learning to infer causal eff...
< 0 ] = 0 abilities = rng . normal ( 0 , 0.15 , size = n_samples...grid = sns . pairplot ( df , diag_kind = "kde" , corner = True...scikit-learn.org/stable/auto_examples/inspection/plot_causal_interpretation.html -
Image denoising using kernel PCA — scikit-learn...
random_state = 0 , train_size = 1_000 , test_size = 100 ) rng = np ....axs = plt . subplots ( nrows = 10 , ncols = 10 , figsize = ( 8...scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html -
locally_linear_embedding — scikit-learn 1.6.1 d...
reg = 0.001 , eigen_solver = 'auto' , tol = 1e-06 , max_iter...max_iter = 100 , method = 'standard' , hessian_tol = 0.0001 , modified_tol...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html