Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
H2O Sparkling Water
vsimbalanced-ensemble
H2O Sparkling Water vs imbalanced-ensemble
How do H2O Sparkling Water and imbalanced-ensemble compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | H2O Sparkling Water | imbalanced-ensemble |
|---|---|---|
| What it is | Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster. | Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets. |
| 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 H2O Sparkling Water and imbalanced-ensemble.
Open source
24 alternativesThe Geni project provides a Clojure dataframe library that runs on Apache Spark.
Open source
24 alternativesThe Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
Open source
24 alternativesNetron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Open source
24 alternativesAutomatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
Open source
24 alternativesSynapseML provides distributed machine learning algorithms for Spark through its Python library.
Open source
24 alternatives






