Search Results for "tests"

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all of the one-parameter exponential family distributions. ...

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference,...

...Currently, the main focus of these is computational quantum mechanics, analysis and simulation of molecular spectra, and general-purpose approximants. The package provides the most reliable modern strategies for linear and non-linear model optimization, regularization, and hypothesis tests. Parallel computing is supported.

...To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You can run the unit tests for any of the models by running "yarn test" inside a directory. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Build and train models directly in JavaScript using flexible and intuitive APIs. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.

PopperFramework is a java framework which allows you to create PageObjects for your webapplication-tests in a declarative way. That means you just have to define an interface defining the structure of your website and add some annotation with the basic information like locators. PopperFramework will generate the implementation of that PageObject for you. Key-Goal of PopperFramework is to allow you as a developer of sureface-tests to concentrate on your business => writing PageObjets and Tests, not wasting time by writing boilerplate code. ...

PIMed is a tool for the creation of presentation models and presentation interaction models Once models have been created the tool can be used to generate abstract tests from these models, and also to export presentation interaction models (PIMs) as a .muz file for use with the AMuZed tool PIMed is free, open-source software, distributed under the GPL (GNU Public License).

A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.

JSeqUnit enhances Javadoc documentation with UML sequence diagrams that are generated with the help of JUnit tests. It uses JSeq to trace the execution of test executions. It supports re-engineering of components through improved reverse engineering of methods with the help of sequence diagrams.

NHag - NHibernate Automated Generator - is an advanced Codegenerator. Based on the hbm.xmls it can produce class code (in VB.NET and C#), Cell- and MVP-based abstraction layers and test scenarios (Test-DB and Unit Tests) for the generated classes. It's

BNF processing tool checks correctness of BNF grammar, generates cross-referenced HTML documentation, generates tests for language recognizers (parsers).