What is RapidML?
Well, RapidML is your Smart Machine Learning assistant that not only automates the creation of machine learning models but also enables you to easily deploy the models to the cloud.
RapidML is perfect for Python programmers at all levels, ranging from beginners who want to get into Data Science and Machine Learning to intermediate and advanced programmers who want to bring Machine Learning to consumer and industry usage applications.
Apart from making predictions in Python, RapidML models can be exported as Web APIs to develop Machine Learning applications in a wide variety of platforms, such as Javascript, Android, iOS…. and almost everything else which can make and receive web requests!
Documentation: https://ritabratamaiti.github.io/RapidML
Email: ritabratamaiti@hiretrex.com
Issues Page: https://github.com/ritabratamaiti/RapidML/issues
Twitter: https://twitter.com/ritabratamaiti
Metadata
Release files for RapidML 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| RapidML-1.0.2.tar.gz | 4.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| RapidML-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.0 kB
Release files / RapidML-1.0.2.tar.gz
| Download URL | RapidML-1.0.2.tar.gz |
|---|---|
| Size | 4.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / RapidML-1.0.2-py3-none-any.whl
| Download URL | RapidML-1.0.2-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |