Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesPattern Recognition Toolbox
vsMicrosoft ML for Apache Spark
Pattern Recognition Toolbox vs Microsoft ML for Apache Spark
How do Pattern Recognition Toolbox and Microsoft ML for Apache Spark compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Pattern Recognition Toolbox | Microsoft ML for Apache Spark |
|---|---|---|
| What it is | The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning. | SynapseML provides distributed machine learning algorithms for Spark through its Python library. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Pattern Recognition Toolbox and Microsoft ML for Apache Spark.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Open source
24 alternatives
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
Open source
24 alternatives
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
Open source
24 alternatives
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
Open source
24 alternatives
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Open source
24 alternatives