Description
library wrapper for ml libraries.
Сapabilities
The main class is a conveyor as an analogue of a pipeline. There is a partial interchangeability. The focus is on expanding built-in capabilities such as auto-typing predictive models, feature importance inference, scores, and various future features. There are also adapted transformers, classes for customizing the structure of projects.
Status
At the moment, the functionality is not wide, designed for expansion in the future
1 maintainer
Metadata
1 maintainer
Release files for amlpp 0.1.9.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| amlpp-0.1.9.7.tar.gz | 14.3 kB | Without provenance | Details for amlpp-0.1.9.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| amlpp-0.1.9.7-py3-none-any.whl | Python 3 | none | any | Details for amlpp-0.1.9.7-py3-none-any.whl |
Total release size: 32.1 kB
Release files / amlpp-0.1.9.7.tar.gz
| Download URL | amlpp-0.1.9.7.tar.gz |
|---|---|
| Size | 14.3 kB |
| Tags | Source |
|
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 |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10
|
Release files / amlpp-0.1.9.7-py3-none-any.whl
| Download URL | amlpp-0.1.9.7-py3-none-any.whl |
|---|---|
| Size | 17.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.10
|
Security for amlpp 0.1.9.7
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