Automated type inference for Machine Learning pipelines.
Project description
MindsDB Type Infer
Automated type inference for Machine Learning pipelines.
In the context of tabular data, type_infer aims for optimal interpretation of each column’s data type for ML use cases. For example, strings with date or time format would be classified as timestamps, or integers as categorical if there is a sufficiently small set of unique values in the column.
Documentation
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 Distribution
type_infer-0.0.19.tar.gz
(24.8 kB
view hashes)
Built Distribution
Close
Hashes for type_infer-0.0.19-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1921ee1251c1bf979f95079efc27188207e501ec1d9a0fa9dda96f25c4a15b95 |
|
| MD5 | acf6739085a49f040cee3cf49dda0a8d |
|
| BLAKE2b-256 | cf59f50691995deb47ee7cb992c9745b30c0810944442984f6a583c8afa557f9 |
