pplbench.org valuation and analysis
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| Title | PPL Bench | PPL |
| Description | Evaluation Framework for Probabilistic Programming |
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pplbench.org Valuation
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US$430,015
Last updated: 2023-05-17 09:48:10
pplbench.org has Semrush global rank of 24,613,853. pplbench.org has an estimated worth of US$ 430,015, based on its estimated Ads revenue. pplbench.org receives approximately 49,618 unique visitors each day. Its web server is located in United States, with IP address 104.21.2.88. According to SiteAdvisor, pplbench.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$430,015 |
| Daily Ads Revenue | US$397 |
| Monthly Ads Revenue | US$11,909 |
| Yearly Ads Revenue | US$142,897 |
| Daily Unique Visitors | 3,308 |
| Note: All traffic and earnings values are estimates. | |
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HtmlToTextCheckTime:2023-05-17 09:48:10
| Support Ukraine ?? Help Provide Humanitarian Aid to Ukraine . Menu PPL Bench Docs Blog GitHub ? ? PPL Bench Docs Blog GitHub PPL Bench Evaluation Framework for Probabilistic Programming Languages Get Started Introduction Key Features Modular Plug in new models and new Probabilistic Programming Language implementations of the models. Using Predictive Log Likelihood Using the Predictive Log Likelihood metrics makes PPLBench applicable for all types of PPLs. Reusable Write a benchmark workflow once, reuse it across all PPLs. Get started in seconds 1. Install PPL Bench with supported PPLs: Copy pip install ’pplbench[ppls]’ 2. Write a simple JSON config Let’s store the following config into a file called example.json . Copy { "model" : { "class" : "logistic_regression.LogisticRegression" , "args" : { "n" : 2000 , "k" : 5 , "rho" : 3 } } , "iterations" : 500 , "trials" : 2 , "ppls" : [ { "name" : "stan" , "inference" : { "class" : "inference.VI" , "infer_args" : { "algorithm" : "meanfield" |
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