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FlinkML Review

2

Β·

Very good

Revainrating 4.5 out of 5Β Β 
RatingΒ 
4.3
IT Infrastructure, Database Software

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Description of FlinkML

FlinkML is the Machine Learning (ML) library for Flink it has a growing list of algorithms and contributors that aim to provide scalable ML algorithms, an intuitive API, and tools that help minimize glue code in end-to-end ML systems.

Reviews

Global ratings 2
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Type of review

Revainrating 4 out of 5

Very useful tools for web analytics

The best feature i like most about this product is its flexibility because we can use machine learning models with different frameworks such as Python or R.The support team are really helpful whenever you have any question regarding using these products. I do not believe there should be anything to dislike.This software really helps us to understand how our customers interact with our services so that we may enhance them. This tool also helped me solve problems related to my job and gave me…

Pros
  • Flink ML makes it easy for engineers in data science teams (like myself)to develop scalable, distributed applications quickly without having much experience working at scale.It's fast! There isn't too many dependencies involved which allows developers quicker access when compared against other tools available today..I enjoy being able learn various technologies by leveraging their framework while building out complex projects.
Cons
  • Sometimes performance issues occur due poor resource utilization

Revainrating 5 out of 5

Clean and convenient way to write Python code for preprocessing

I like how easy fluml makes data preparation when using machine learning models such as Random Forests or Deep Neural Networks with TensorFlow backend! It's very nice because most other libraries require you create some python files which are not always possible if your dataset contains large amounts of categorical variables / columns etc... There isn't much more than what i mentioned above but its good enough so far :) If there were things they could improve maybe adding better documentation…

Pros
  • Also great thing is that we get access directly through Jupyter Note
Cons
  • Almost never