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1.13. Feature selection — scikit-learn 1.7.2 do...
>>> lsvc = LinearSVC ( C = 0.01 , penalty = "l1" , dual = False...model = SelectFromModel ( lsvc , prefit = True ) >>> X_new = model...scikit-learn.org/stable/modules/feature_selection.html -
Exponentiation — scikit-learn 1.7.2 documentation
y = make_friedman2 ( n_samples = 500 , noise = 0 , random_state...exponent = 2 ) >>> gpr = GaussianProcessRegre ( kernel = kernel...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Exponentiation.html -
Web Frontend Instrumentation and Monitoring wit...
OTEL_RESOURCE_ATTRIBUTES=service.version=1,deployment.environment=dev OTEL_...OTEL_TRACES_EXPORTER=otlp OTEL_METRICS_EXPORTER=otlp OTEL_LOGS_EXPORTER=otlp...www.elastic.co/observability-labs/blog/web-frontend-instrumentation-with-opentelemetry -
safe_sparse_dot — scikit-learn 1.7.2 documentation
dense_output = False ) [source] # Dot product...matrix} dense_output bool, default=False When False, a and b both...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.safe_sparse_dot.html -
SelectFpr — scikit-learn 1.7.2 documentation
SelectFpr ( score_func=<function f_classif> , * , alpha=0.05 ) [source]...chi2 >>> X , y = load_breast_cancer ( return_X_y = True ) >>> X...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
mean_variance_axis — scikit-learn 1.7.2 documen...
weights = None , return_sum_weights = False ) [source]...each feature if axis=0 or each sample if axis=1 . Added in version...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
priors = None , reg_param = 0.0 , store_covariance = False ,...>>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>> clf = QuadraticDiscriminan...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
OrthogonalMatchingPursuit — scikit-learn 1.7.2 ...
n_nonzero_coefs = None , tol = None , fit_intercept = True , precompute...>>> X , y = make_regression ( noise = 4 , random_state = 0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
NearestCentroid — scikit-learn 1.7.2 documentation
metric = 'euclidean' , * , shrink_threshold = None , priors = 'uniform'...>>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>> clf = NearestCentroid...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
Instrumenting your OpenAI-powered Python, Node....
r=snapshots&g=co.elastic.otel&a=elastic-otel-javaagent&v=LATEST'...OPENAI_API_KEY=sk-YOUR_API_KEY OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:8200...www.elastic.co/observability-labs/blog/elastic-opentelemetry-openai