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features
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support

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Write a Review

Description

MLBox is an advanced Python library designed for Automated Machine Learning. This library offers a variety of features, including rapid data reading, efficient distributed preprocessing, comprehensive data cleaning, robust feature selection, and effective leak detection. It excels in hyper-parameter optimization within high-dimensional spaces and includes cutting-edge predictive models for both classification and regression tasks, such as Deep Learning, Stacking, and LightGBM, along with model interpretation for predictions. The core MLBox package is divided into three sub-packages: preprocessing, optimization, and prediction. Each sub-package serves a specific purpose: the preprocessing module focuses on data reading and preparation, the optimization module tests and fine-tunes various learners, and the prediction module handles target predictions on test datasets, ensuring a streamlined workflow for machine learning practitioners. Overall, MLBox simplifies the machine learning process, making it accessible and efficient for users.

Description

Parameter serves as an extensive monitoring solution designed to assist critical facilities in identifying, analyzing, and responding to environmental, leak, and equipment health challenges before they lead to failures. By consolidating data from RLE leak detection systems, battery monitoring (Cellwatch), and environmental observations, it creates a cohesive system that delivers real-time insights to building management systems (BMS) via standard protocols such as SNMP, BACnet, and Modbus. The platform is adaptable, enabling monitoring capabilities that range from individual racks to large-scale operations, while ensuring accurate detection of fluid leaks with location mapping, ongoing surveillance of temperature, humidity, airflow, CO2, and power conditions, as well as comprehensive battery health analysis for UPS and backup systems. Parameter’s offerings include instant alerts and actionable insights through web interfaces that can be accessed from any browser or device, facilitating prompt responses and proactive maintenance to enhance operational uptime. This powerful tool not only improves efficiency but also fosters a proactive approach to facility management, ultimately ensuring a more resilient infrastructure.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

GitHub Yes 
Modbus RTU No 
Python Yes 
SNMP .Net Component No 

Integrations

GitHub No 
Modbus RTU Yes 
Python No 
SNMP .Net Component Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Axel ARONIO DE ROMBLAY

Founded

2017

Website

mlbox.readthedocs.io/en/latest/

Vendor Details

Company Name

Parameter

Founded

2024

Country

United States

Website

parameter-tech.com

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Facility Management

Asset Management No 
Commercial Properties No 
Equipment Management No 
Facility Scheduling No 
Incident Management No 
Inspection Management No 
Inventory Control No 
Maintenance Tracking No 
Preventive Maintenance No 
Residential Properties No 
Room Scheduling No 
Schools No 
Space Planning No 
Vendor Management No 
Visitor Management No 
Work Order Management No 

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