Qt Contributors Summit 2019 Program/Qt Machine Learning and Math: Difference between revisions
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== Introduction == | |||
* Slides: | * Slides: | ||
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** Armadillo | ** Armadillo | ||
** We don't have math modules in Qt because it's hard to have something so specific; | ** We don't have math modules in Qt because it's hard to have something so specific; | ||
== Thoughts on how Qt and Qt for Python fit in this market == | |||
* Make the interface interaction with Qt and these libraries | * Make the interface interaction with Qt and these libraries |
Latest revision as of 15:23, 22 November 2019
Introduction
- Slides:
- The Python modules that are used in ML have C++ implementations under the hood. Here are some examples:
- TensorFLow
- Keras
- Scikit-learn
- Theano
- PyTorch
- In DS the main Python modules are:
- NumPy
- Pandas
- Data science work consists in Data Extracting, transforming it, loading it and cleaning it, and just then they apply ML techniques;
- Math in C++:
- cmath
- Armadillo
- We don't have math modules in Qt because it's hard to have something so specific;
Thoughts on how Qt and Qt for Python fit in this market
- Make the interface interaction with Qt and these libraries
- The point is not reimplementing data frames or numpy stuff, we want to add support to it on PySide, having widgets ready to use;
- PyTorch offers some support that'd make it easy to integrate with Qt;
- Create training interfaces [...];
- Show insides of a module like TensorFlow it's doing in its website;
- Important to ask ourselves what are we bringing to the table, because there is a lot of things that are already out there doing a pretty good job;
- It's hard to get in to a market that's already established;
- Offer a tool that allows data scientists to interact with the data and modify it;
- If we had a better graphical display system in Qt it'd be easier to implement this kind of thing. Maybe the answer is to fix QtChart, or maybe the answer is to kill QtChart;
- We could provide building blocks to people to build their own dashboard;
- It'd help a lot the DS people to visualize their data, helping them cleaning it;
- We could provide building blocks to people to build their own dashboard;