MLJAR is one of the best python packages I have used so far for machine learning. The software is easy to install and very useful for developing new modules. Training the model on multiple algorithms is easy really on it, and the output is usually accurate and it hence saves tons of time in training and rerunning the model with different datasets in case of error.
The AutoML feature is very easy to use and has similar syntax as sklearn module and report after it explained very nicely.
Although I am new to AutML I have used H2O but this is much easier as it has much simpler syntax and the results are better than sklearn and slighly better than H20.
PN
Prince N.
FinOps Intern at Arcesium (D.E. Shaw Group) || PGDM at IMI New Delhi || Ex - TCS
El tiempo ahorrado al usar aplicaciones automáticas de ML y la capacidad del apilamiento de modelos para construir sistemas de ML más precisos. Actúa como una mejora para los científicos de datos existentes.
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