pmml4s.org valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | PMML4S | |
| Description | PMML scoring library for |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 185.199.108.153 |
| Location | - |
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pmml4s.org Valuation
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US$1,911
Last updated: 2023-05-20 06:35:33
pmml4s.org has Semrush global rank of 0. pmml4s.org has an estimated worth of US$ 1,911, based on its estimated Ads revenue. pmml4s.org receives approximately 220 unique visitors each day. Its web server is located in -, with IP address 185.199.108.153. According to SiteAdvisor, pmml4s.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$1,911 |
| Daily Ads Revenue | US$1 |
| Monthly Ads Revenue | US$52 |
| Yearly Ads Revenue | US$635 |
| Daily Unique Visitors | 14 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| pmml4s.org. | A | 1799 | IP: 185.199.108.153 |
| pmml4s.org. | A | 1798 | IP: 185.199.111.153 |
| pmml4s.org. | A | 1798 | IP: 185.199.109.153 |
| pmml4s.org. | A | 1798 | IP: 185.199.110.153 |
| pmml4s.org. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
| pmml4s.org. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
| pmml4s.org. | MX | 1800 | MX Record: 15 eforward4.registrar-servers.com. |
| pmml4s.org. | MX | 1800 | MX Record: 10 eforward1.registrar-servers.com. |
| pmml4s.org. | MX | 1800 | MX Record: 10 eforward2.registrar-servers.com. |
| pmml4s.org. | MX | 1800 | MX Record: 10 eforward3.registrar-servers.com. |
| pmml4s.org. | MX | 1800 | MX Record: 20 eforward5.registrar-servers.com. |
| pmml4s.org. | TXT | 1800 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
HtmlToTextCheckTime:2023-05-20 06:35:33
| Skip to the content. PMML4S PMML scoring library for Scala View on GitHub PMML4S PMML4S is a PMML (Predictive Model Markup Language) scoring library for Scala. It provides both Scala and Java Evaluator API for PMML. Table of Contents Features Models support Transformations support Installation SBT users Maven users Use in Scala Use in Java Use PMML in Spark Use PMML in PySpark Use PMML in Python Deploy PMML as REST API Deploy and Manage AI/ML models at scale Attentions Support License Features PMML4S is a lightweight, clean and efficient implementation based on the PMML specification from 2.0 through to the latest 4.4.1. Models support It supports the following models: Anomaly Detection Models Association Rules Cluster Models General Regression k-Nearest Neighbors Naive Bayes Neural Network Regression Ruleset Scorecard Trees Vector Machine Multiple Models Not yet supported models: Baseline Models Bayesian Network Gaussian Process Sequences Text Models Time Series Transformations |
HTTP Headers
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