Results for “arviz”

9 skills

Build, fit, validate, and compare Bayesian models using PyMC's modern API, including hierarchical models, MCMC sampling, variational inference, posterior predictive checks, and model comparison.

30.2k · bundle

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import-infrastructure-as-code

Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM).

azure-ai-formrecognizer-java

Extract text, tables, key-value pairs, and structured fields from documents, receipts, invoices, and IDs using Azure AI Document Intelligence SDK for Java.

azure-ai-vision-imageanalysis-java

Analyze images using Azure AI Vision SDK for Java, enabling captioning, OCR, object detection, tagging, and smart cropping.

azure-ai-vision-imageanalysis-py

Analyze images using Azure AI Vision SDK: generate captions, tags, detect objects, extract text (OCR), detect people, and suggest smart crops.

azure-maps-search-dotnet

Integrate Azure Maps location-based services into .NET applications for geocoding, routing, rendering, geolocation, and weather data.

arize-annotation

Creates and manages annotation configs and annotation queues on Arize, and applies human annotations to project spans via the Python SDK.

36.2k · bundle

Manage Arize datasets and examples using the ax CLI: create, list, get, export, and append datasets for evaluation and experimentation.

36.2k · bundle

schattenspiegel

Use for writing, reviewing, debugging, testing, or diagnosing Bayesian regression and hierarchical models built with Bambi formulas, Model, Family/Likelihood/Link, Prior, fit, prior predictive, and predict. Trigger on common versus group-specific terms, categorical coding, family/link choice, automatic prior scaling, missing rows, PyMC backend settings, and InferenceData predictions. Do not use for hand-built PyMC graphs, NumPyro programs, ArviZ-only analysis of existing draws, frequentist statsmodels formulas, or generic pandas work.