This automates nearly all the work for classification modeling. The notebook walks you through all the steps in a straightforward way. I wrote the code generation and data cleaning code. The last four steps of building a model are done by the TPOT package.
Metadata
Release files for neatbook 0.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neatbook-0.20.tar.gz | 3.4 kB | Details |
Release files / neatbook-0.20.tar.gz
| Download URL | neatbook-0.20.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
57c27aceec2f86703774a45ce8c2cd3617c300b6fbcc06c7fccbc8f6b08f9b61
|
|
BLAKE2b-256 checksum How to use checksums |
ff923398fbe6cdcb462650540943518fe0b91d972228358c37c9ea0749e3aa8d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |