- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1261 - 1270 of 1,745 for document (3.13 sec)
-
Comparing random forests and the multi-output m...
An example to compare multi-output regression with random forest and the multioutput.MultiOutputRegressor meta-estimator. This example illustrates the use of the multioutput.MultiOutputRegressor me...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
Novelty detection with Local Outlier Factor (LO...
The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html -
Gaussian process classification (GPC) on iris d...
This example illustrates the predicted probability of GPC for an isotropic and anisotropic RBF kernel on a two-dimensional version for the iris-dataset. The anisotropic RBF kernel obtains slightly ...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html -
Support Vector Regression (SVR) using linear an...
Toy example of 1D regression using linear, polynomial and RBF kernels. Generate sample data: Fit regression model: Look at the results: Total running time of the script:(0 minutes 5.541 seconds) La...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html -
What is Semantic Search? | A Comprehensive Sema...
document, or set of documents. A record-level...matches vectors of existing documents (a semantic search concerns...www.elastic.co/what-is/semantic-search -
3.3. Tuning the decision threshold for class pr...
Classification is best divided into two parts: the statistical problem of learning a model to predict, ideally, class probabilities;, the decision problem to take concrete action based on those pro...scikit-learn.org/stable/modules/classification_threshold.html -
Manage data | Elastic Docs
is a collection of documents uniquely identified by a name...name or an alias. These documents go through a process called...www.elastic.co/docs/manage-data -
decomposition.rst.txt
collection of :math:`D` documents. * A document is a sequence of :math:`N`...solver: `scipy.linalg.eigh documentation <https://docs.scipy.org...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
Decision boundary of semi-supervised classifier...
A comparison for the decision boundaries generated on the iris dataset by Label Spreading, Self-training and SVM. This example demonstrates that Label Spreading and Self-training can learn good bou...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html -
2.9. Neural network models (unsupervised) — sci...
Restricted Boltzmann machines: Restricted Boltzmann machines (RBM) are unsupervised nonlinear feature learners based on a probabilistic model. The features extracted by an RBM or a hierarchy of RBM...scikit-learn.org/stable/modules/neural_networks_unsupervised.html