FluidAI - Sanatio
Sanatio
sanatio(Latin) OR validation(English)
noun
- the action of checking or proving the validity or accuracy of something.
- the action of making or declaring something legally or officially acceptable.
- recognition or affirmation that a person or their feelings or opinions are valid or worthwhile.
The FluidAI - Sanatio package provides functions to perform different types of validation functions, the results of
which can be used for ensuring the machine learning model trained is robust and the accuracy levels attained are
dependable.
Version 2.1.0 updates
- Code Generation modules
- CF model training modules
- Correlation structure in routines
Features in Sanatio
| Feature |
|---|
| Validation Reports |
| Enacting recommendation |
| Automl Module |
| Code Generation |
| Collaborative model building |
| Fillna Module (Under Progress) |
User Docs
https://fluid-ai.gitbook.io/fluid-ai-sanatio
Current directory structure
sanatio/
├───authentication_server/
│ ├───authentication_server.py
│ ├───utils/
│ │ ├───db_credential.json # credential file
│ │ ├───utils.py
│ │ └───__init__.py
│ └───__init__.py
├───code_generation/
│ ├───generate_code.py # codes to generate new cell with functions defined in the below files
│ ├───matrics_codes.py
│ └───__init__.py
├───jupyter_ui_menu/
│ ├───jupyter_menu.py #for generating interactive dropdown menu for all sanatio features
│ ├───jupyter_codegen_menu.py #for generating interactive dropdown menu for code generation
│ └───__init__.py
├───training/
│ ├───automl/ # pipeline generation functions
│ │ ├───pipeline_generation.py
│ │ └───__init__.py
│ └───__init__.py
│ ├───recommsys/ # recommendation for CF functions
│ │ ├───cf.py
│ └───__init__.py
├───validations/
│ ├───db_credential.json
│ ├───graphs/ # plotting functions
│ │ ├───graphs.py
│ │ └───__init__.py
│ ├───routines/ # folder has different routines
│ │ ├───binary_logistic_regression_routine.py
│ │ ├───helper_routines.py # has the base routine and validation routine class that calls different routines
│ │ ├───linear_regression_routine.py
│ │ ├───tree_based_classification_routine.py
│ │ └───__init__.py
│ ├───sanatio_enact.py # code to enact sanatio recommendations
│ ├───session_authentication.py # code to authenticate with main server
│ ├───stats/
│ │ ├───stats.py # plotting functions
| | |───correlation_structure.py
│ │ └───__init__.py
│ └───__init__.py
├───validation_tests/ # test cases
│ ├───test_authentication.py
│ ├───test_automl.py
│ ├───test_enact.py
│ ├───test_graphs.py
│ ├───test_routines.py
│ ├───test_stats.py
│ └───__init__.py
└───__init__.py
Note: Subject to future changes in the file structure.
Metadata
Release files for fluidai-sanatio 2.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| fluidai_sanatio-2.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | CPython 3.9 | Linux glibc 2.17+ x86-64 | Details |
| fluidai_sanatio-2.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.17+ x86-64 | Details |
| fluidai_sanatio-2.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.17+ x86-64 | Details |
| fluidai_sanatio-2.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.17+ x86-64 | Details |
Total release size: 32.4 MB
Release files / fluidai_sanatio-2.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | fluidai_sanatio-2.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 8.5 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
51bacf4759e05c259b5ecfbdf713310d11e8654a03cf08637f44c9401b3d2a82
|
|
BLAKE2b-256 checksum How to use checksums |
c2c52d5ebbdb8fb4f72d43e20d55077967ff7c8c2435df587c6aa3b6351b1c26
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.14
|
Release files / fluidai_sanatio-2.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | fluidai_sanatio-2.2.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 8.8 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
ff96a05e6ce6118edd38b17b01d421b0ff7a949b2a320ba991d7a5573d7656ee
|
|
BLAKE2b-256 checksum How to use checksums |
70f5884fab0eb3ca1f2edb20bbfebb0240a2543b68811494b8ddabae476c3f66
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.14
|
Release files / fluidai_sanatio-2.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | fluidai_sanatio-2.2.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 7.5 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
efade270d120832c329a3d7bb04e3e66670bcfca46ff86fef4e5b289385dadae
|
|
BLAKE2b-256 checksum How to use checksums |
9354bd23dc76e8dd55e0716d344d72199f6bd25efdd8cb7b82c12e0e027f3608
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.14
|
Release files / fluidai_sanatio-2.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | fluidai_sanatio-2.2.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 7.6 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
e13a68046e3820d0fe2277346fc7c79aba225ea766c8f8b778174b2587ae2fb9
|
|
BLAKE2b-256 checksum How to use checksums |
8bb8671e3f2294b9dcb1d5096ef3f9f399564f28089b60632016378c29001632
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.14
|
Security for fluidai-sanatio 2.2.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.