SAS Factory Miner
SAS Factory Miner is an advanced machine learning software designed for seamless integration throughout the analytics life cycle. It enables users to manage data, build models, and deploy insights collaboratively, using intuitive interfaces and automated processes. With support for various coding languages, it accelerates the discovery of valuable insights while ensuring reproducibility and interpretability of results.
Top SAS Factory Miner Alternatives
The Libra Toolkit
The Libra Toolkit comprises a suite of algorithms designed for learning and inference in discrete probabilistic models, such as Bayesian networks and sum-product networks.
PyTorch
PyTorch enables users to efficiently run machine learning applications locally or through various cloud platforms.
OpenAI Gym
OpenAI Gym has been developed as an advanced technological toolkit that toolkit which is used for the development and for comparing various learning algorithm that involve reinforcement.
Accord.MachineLearning
Accord.MachineLearning provides a robust suite of algorithms for various machine learning tasks, including Support Vector Machines, Decision Trees, and K-means clustering.
Stanford Classifier
The Stanford Classifier is a Java-based maximum entropy classifier designed for categorizing data into multiple classes.
PushGP
PushGP is an advanced machine learning software utilizing a family of programming languages designed for evolutionary computation.
ibm powerai
Leveraging GPU technology for enhanced performance, it provides user-friendly tools that enable individuals with limited...
IBM Machine Learning for z/OS
It provides secure, rapid access to computing resources while integrating seamlessly into hybrid cloud and...
Numenta
This nonprofit initiative emphasizes a sensorimotor framework, aiming to enhance AI capabilities and redefine technological...
Apache SAMOA
Its pluggable architecture enables seamless operation on various distributed stream processing engines like Apache Storm...
Stan
Its versatile programming language accommodates applications ranging from linear regression to multi-level models...
Apache SystemML
Utilizing R-like declarative languages, it enables users of varying expertise to compile high-level scripts into...
Explorium
By translating natural language queries into actionable insights, agents can identify targeted leads and create...
FlinkML
It emphasizes minimizing glue code in end-to-end ML systems while leveraging a scikit-learn inspired pipelining...
Top SAS Factory Miner Features
- Integrated environment for all tasks
- Automatic machine learning insights generation
- Natural language project summaries
- Embed open source algorithms
- Python integration with DLPy
- Massively parallel processing capabilities
- Automated parameter tuning
- Visual model comparison tools
- Comprehensive interpretability reports
- Self-service data preparation interface
- Smart visualizations and interactive reports
- Generative adversarial networks support
- Automated feature engineering capabilities
- Multiuser secure environment access
- End-to-end model deployment
- Support for reinforcement learning
- Best practice modeling templates
- Concurrent data access in memory
- Cloud-native architecture
- Customizable modeling applications.
Top SAS Factory Miner Alternatives
- The Libra Toolkit
- PyTorch
- OpenAI Gym
- Accord.MachineLearning
- Stanford Classifier
- PushGP
- ibm powerai
- Theano
- IBM Machine Learning for z/OS
- Numenta
- Apache SAMOA
- Stan
- Apache SystemML
- Explorium
- FlinkML
