Meta-Learn
Collection and utilization of meta data from machine learning models and problems.
Collect and use meta-data of machine learning datasets to reduce search time for hyperparameter. Meta-Learn collects data about model- and dataset-properties to train a regressor (the score of the model being the target).
Installation
pip install meta-learn
Metadata
Release files for meta-learn 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| meta_learn-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / meta_learn-0.2.0-py3-none-any.whl
| Download URL | meta_learn-0.2.0-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
50626bf1c51f49b6fe6ccfb5bfb377270a0178b2e64da4592b643fecabda63c3
|
|
BLAKE2b-256 checksum How to use checksums |
676c72f10c801d50995c859d072b0bc88568d217a52ce041567de57841828477
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.10
|