Igel
Development & TrainingWhat is Igel?
It is a delightful machine learning tool that allows to train, test and use models without writing code.
Igel is a tool in the Development & Training category of a tech stack.
Key Features
Supports all state of the art machine learning models (even preview models)Supports different data preprocessing methodsProvides flexibility and data control while writing configurationsSupports cross validationSupports both hyperparameter search (version >= 0.2.8)Supports yaml and json formatSupports different sklearn metrics for regression, classification and clusteringSupports multi-output/multi-target regression and classificationSupports multi-processing for parallel model construction
Igel Pros & Cons
Pros of Igel
No pros listed yet.
Cons of Igel
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Igel Alternatives & Comparisons
What are some alternatives to Igel?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
