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What is MLBox?

MLBox is a sophisticated Python library tailored for Automated Machine Learning, providing a multitude of features such as swift data ingestion, effective distributed preprocessing, thorough data cleansing, strong feature selection, and precise leak detection. It stands out with its capability for hyper-parameter optimization in complex, high-dimensional environments and incorporates state-of-the-art predictive models for both classification and regression, including techniques like Deep Learning, Stacking, and LightGBM, along with tools for interpreting model predictions. The main MLBox package is organized into three distinct sub-packages: preprocessing, optimization, and prediction, each designed to fulfill specific functions: the preprocessing module is dedicated to data ingestion and preparation, the optimization module experiments with and refines various learners, and the prediction module is responsible for making predictions on test datasets. This structured approach guarantees a smooth workflow for machine learning professionals, enhancing their productivity. In essence, MLBox streamlines the machine learning journey, rendering it both user-friendly and efficient for those seeking to leverage its capabilities.

What is Aspen Unscrambler?

This state-of-the-art software stands out in its ability to model, predict, and optimize by leveraging advanced multivariate statistical analysis alongside dynamic visual displays. It significantly speeds up product development, boosts quality, and fine-tunes processes, all while allowing users to navigate large datasets with ease. By analyzing diverse data types, users can swiftly derive enhanced solutions to real-world issues in product development, quality management, and manufacturing. The software employs specialized multivariate statistical analysis methods specifically designed for spectroscopy and chemometrics. Users can smoothly import data related to materials, sensors, processes, and spectra in any format, benefiting from user-friendly features for plotting, preprocessing, and analyzing spectral data. It ensures exceptional product classification, maintaining a high level of quality throughout production. Moreover, it increases efficiency by streamlining every phase of the analytical workflow through targeted project strategies. Importantly, the software also guarantees adherence to regulatory requirements such as 21 CFR Part 11 and EU Annex 11, providing functionalities like compliance modes, digital signatures, secure passwords, and thorough audit trails. Consequently, this tool not only enhances productivity but also equips users with the ability to make well-informed decisions supported by comprehensive data analysis, leading to a more effective overall approach in their operations.

Media

Media

Integrations Supported

GitHub
Python

Integrations Supported

GitHub
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Axel ARONIO DE ROMBLAY

Date Founded

2017

Company Website

mlbox.readthedocs.io/en/latest/

Company Facts

Organization Name

Aspen Technology

Date Founded

1981

Company Location

United States

Company Website

www.aspentech.com/en/products/msc/aspen-unscrambler

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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