Brainome Table Compiler
Project description
Brainome(tm)
Project description
Brainome is a data compiler that automatically solves supervised machine learning problems with repeatable and reproducible results and creates standalone python predictors.
Brainome’s philosophy is that data science should be accessible to all:
- Run on your machine or in your cloud.
- Keep your data local.
- Own your model python code - run it anywhere.
- Single “compiler like” command to convert you data in a model in a single step.
- Automatic data format conversion (text, numbers, etc..).
- No hyper-parameter tuning through measurements.
- Unlimited dimensionality (premium).
Brainome offer unique data insight and helps answer:
- Do I have enough data and the right feature?
- What features are important (attribute ranking)?
- What model type will work best?
- Is my model overfitting?
Brainome’s predictors:
- Run as executable or import as library.
- Are hardware independent.
- Are self contained in a single python file and integrate easily in standard CI/CD flow, Github, etc…
Brainome is free for personal use or evaluation.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distributions
File details
Details for the file brainome-1.7.89-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.
File metadata
- Download URL: brainome-1.7.89-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
- Upload date:
- Size: 2.4 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.24+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 38a6b19fb5a694106c8c33a455568f5f463fb16573dc6bed0e90467bdcd68408 |
|
| MD5 | 53d8ff7743b53bdc4c0f610819ea7329 |
|
| BLAKE2b-256 | 5aed272c9786a99d62ef33dcdf9c03958f1eccd6cb64c41bd0cc7aef55cf9230 |
File details
Details for the file brainome-1.7.89-cp39-cp39-macosx_10_15_x86_64.whl.
File metadata
- Download URL: brainome-1.7.89-cp39-cp39-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.8 MB
- Tags: CPython 3.9, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0f4c31af1fa9b9fdfc4165efb392ac6986a85acb11a40e5812be7f9ec801ce85 |
|
| MD5 | c84bf1d0f391fb4ff5e41a6b6cb0daf8 |
|
| BLAKE2b-256 | 175d08b4678d77d66abb9c3b623488975edce187c1b1225eea77a819b8cc9722 |
File details
Details for the file brainome-1.7.89-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.
File metadata
- Download URL: brainome-1.7.89-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
- Upload date:
- Size: 2.4 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.24+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b7f9ba55a418bb84b4b5ab933d2dac610f0280512d1038e49606a51c72943c28 |
|
| MD5 | 361ad5bad21ad9cbca891ced88f53f43 |
|
| BLAKE2b-256 | 9d0232daea8ec2263ec78a96895ab8d4ee11550369ad10716fd9f77610aa0463 |
File details
Details for the file brainome-1.7.89-cp38-cp38-macosx_10_15_x86_64.whl.
File metadata
- Download URL: brainome-1.7.89-cp38-cp38-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.8 MB
- Tags: CPython 3.8, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0adfe196ddfd39c92f03841d2544fecf5a605093196b5a9fadaf64096b7133cf |
|
| MD5 | 7b4baac82440103fe8794a1c1d7d914a |
|
| BLAKE2b-256 | 2a1d816da793f20fe7429df540f0b48e52d48eb6aa1f515340f4001c4eed5559 |
File details
Details for the file brainome-1.7.89-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl.
File metadata
- Download URL: brainome-1.7.89-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
- Upload date:
- Size: 2.3 MB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64, manylinux: glibc 2.24+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 75168e46639fdf6e134676504e4c2d205a730adc2d44dc2bc962c35a81b5d66a |
|
| MD5 | 43372f2a41325278a076dd3916c38a4d |
|
| BLAKE2b-256 | 1af0f20be51358e6789b42a4a89ac53a33aa7c5afe62b2deca31ab296e015e45 |
File details
Details for the file brainome-1.7.89-cp37-cp37m-macosx_10_15_x86_64.whl.
File metadata
- Download URL: brainome-1.7.89-cp37-cp37m-macosx_10_15_x86_64.whl
- Upload date:
- Size: 3.7 MB
- Tags: CPython 3.7m, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | dbdedc176d5e48bc29668a0dd29f4cc4cdd509b9a59ad24684d8d9da6bd68c7d |
|
| MD5 | af28de6f7ffe5d44ce59f29e7409f680 |
|
| BLAKE2b-256 | 097ba4760c851bf58164f05bf8bb8c901d7b57683d0e15474a69c1a564c57232 |
