- Sort Score
- Num 10 results
- Language All
- Labels All
Results 181 - 190 of 1,034 for d (1.08 seconds)
-
enhanced-sastruts-blank.zip
of the Derivative Works; and (d) If the Work includes a "NOTICE"...le.layout.ConversionPattern=%d [%t]-%-5p (%C{1}#%M():%L) - %m%n...dbflute.seasar.org/download/misc/friends/enhanced-sastruts-blank.zip -
Fess Configuration Properties
facet_timestamp_1day=timestamp:[now/d-1d TO * ]t labels.facet_times...labels.facet_timestamp_1week=timestamp:[now/d-7d TO * ]t labels.facet_timestam...fess.codelibs.org/15.4/config/properties.html -
Elastic Agent | Elastic
deploy them how you'd like, and do even more great things...www.elastic.co/elastic-agent -
Unlock the power of Search AI at Elastic{ON} Sy...
2025/2026 forge the future S y d n e y Date 5 March 2026 Location...www.elastic.co/events/elasticon/sydney -
DurationFormat.Style (Spring Framework 7.0.2 API)
d . Those correspond to nanoseconds,...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/format/annotation/Du... -
RBF — scikit-learn 1.8.0 documentation
x_j) = \exp\left(- \frac{d(x_i, x_j)^2}{2l^2} \right)\] where...length scale of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
Unlock the power of Search AI at Elastic{ON} Lo...
2025/2026 forge the future L o n d o n Date 26 February 2026 Location...www.elastic.co/events/elasticon/london -
auto_examples_python.zip
n_samples=%d and n_features=%d, batch_size=%d..." % (n_samples,...n_samples=%d and n_features=%d, " "batch_size=%d..." % (n_samples,...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
FeatureHasher — scikit-learn 1.8.0 docume...
n_features = 10 ) >>> D = [{ 'dog' : 1 , 'cat'...>>> f = h . transform ( D ) >>> f . toarray ()...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
MNIST classification using multinomial logistic...
org/d/554 X , y = fetch_openml ( "mnist_784"...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html