Python Library for Data Preprocessing with Reinforcement Learning.
Project description
Compatibilities
It is compatible with: Python 3.6. & 64-bit version only (32-bit python is not supported)
Operating system: MacOS
Preparation
First, make sure you have setuptools installed. Check that the following requirements are installed:
$ sudo apt-get install build-essential
$ pip install cmake
Installation
Install from pip
Learn2clean is now available on PyPI, so you only need to run the following command:
$ pip install learn2clean
Install from the Github
The sources for Learn2clean can be downloaded from the Github repo.
You can either clone the public repository:
$ git clone git://github.com/LaureBerti/Learn2CleanOr download the tarball:
$ curl -OL https://github.com/LaureBerti/Learn2Clean/tarball/masterOnce you have a copy of the source, you can install it using setup.py :
$ cd learn2clean/ $ python setup.py install
Project details
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file learn2clean-0.2.1.1.tar.gz.
File metadata
- Download URL: learn2clean-0.2.1.1.tar.gz
- Upload date:
- Size: 31.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a7aa5a8c439ff043b4d3d3618d5265c4cd22cd603aa32a0d2a8d5fcab0b9b945
|
|
| MD5 |
ef14b417c14e7401dd0186e9c572ff1e
|
|
| BLAKE2b-256 |
8c5f5303e017f78d6a364d13f1c2a7f0052f81425d7c36adec97ca490e333873
|
File details
Details for the file learn2clean-0.2.1.1-py3-none-any.whl.
File metadata
- Download URL: learn2clean-0.2.1.1-py3-none-any.whl
- Upload date:
- Size: 41.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ef1604c0fa6546a09bae11a5d472225e1c121dde2e76564e5a87de1d081ae83
|
|
| MD5 |
a2568c903959eed23ee9cad824ad0ace
|
|
| BLAKE2b-256 |
ce7823e0c019fb7fe93412a3be6a057e299efd4a5bc4d34e69e78fe232346cd8
|