It is a delightful machine learning tool that allows to train, test and use models without writing code. | Debug your machine learning models in realtime with powerful, interactive visualizations. Quickly log charts from your Python script, visualize your model development in live dashboards, and share interactive plots with your team, in just 2 minutes. |
Supports all state of the art machine learning models (even preview models);
Supports different data preprocessing methods;
Provides flexibility and data control while writing configurations;
Supports cross validation;
Supports both hyperparameter search (version >= 0.2.8);
Supports yaml and json format;
Supports different sklearn metrics for regression, classification and clustering;
Supports multi-output/multi-target regression and classification;
Supports multi-processing for parallel model construction | Powerful, interactive visualizations; Quickly log charts; Visualize your model development in live dashboards;
Share interactive plots with your team |
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GitHub Stars 3.1K | GitHub Stars - |
GitHub Forks 201 | GitHub Forks - |
Stacks 0 | Stacks 2 |
Followers 6 | Followers 8 |
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Integrations | |
| No integrations available | |

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