a有人甚至对我翻白眼 Some people even show the whites of the eyes to me[translate] a成都夏天气候温暖,有利于避暑 正在翻译,请等待...[translate] aused to combine binary SVM classifiers into a multiclassifier. used to combine binary SVM classifiers into a multiclassifier.[translate] ...
ROCAnalysis - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers. GaussianMixtures - Large scale Gaussian Mixture Models. ScikitLearn - Julia implementation of the scikit-learn API. Knet - Koç University Deep Learning Framework. Flux - Relax! Flux is the ...
shapley "a Python library for evaluating binary classifiers in a machine learning ensemble.” sklearn-expertsys "a scikit-learn compatible wrapper for the Bayesian Rule List classifier developed by Letham et al., 2015, extended by a minimum description length-based discretizer (Fayyad & Irani, 19...
A traffic classifier has a plurality of binary classifiers, each associated with one of a plurality of calibrators. Each calibrator trained to translate an output score of the associated binary classifier into an estimated class probabil... S Sen,N Duffield,P Haffner,... - US 被引量: 18发表...
BackfillError BasicCatalogTarget BatchGetTableOptimizerEntry BatchGetTableOptimizerError BatchStopJobRunError BatchStopJobRunSuccessfulSubmission BatchTableOptimizer BatchUpdatePartitionFailureEntry BatchUpdatePartitionRequestEntry BinaryColumnStatisticsData Blueprint ...
The maximum number of results. Type: Integer Valid Range: Minimum value of 1. Maximum value of 1000. Required: No NextToken The token for the next set of results, or null if there are no more result. Type: String Length Constraints: Maximum length of 400000. ...
Learning Linear Classifiers Once familiar with linear classifiers and logistic regression, you can now dive in and write your first learning algorithm for classification. In particular, you will use gradient ascent to learn the coefficients of your classifier from data. You first will need to define...
Defense-GAN -Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models(github) Defo-Net -Defo-Net: Learning Body Deformation using Generative Adversarial Networks DeliGAN -DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data(github) ...
1. Understand the concept and significance of classification as a supervised learning method. 2. Identify and describe different classifiers, such as KNN, decision tree, support vector machine, naive bayes, and logistic regression. 3. Apply each classifier to perform binary and multiclass classificati...
google_evolution: This implements one of result networks from Large-scale evolution of image classifiers by Esteban Real, et. al. pyscatwave: Fast Scattering Transform with CuPy/PyTorch,read the paperhere scalingscattering: Scaling The Scattering Transform : Deep Hybrid Networks. ...