Automated entire process of building and training regression based models
Project description
autoregressor
You can install autoregressor from PyPI
$ pip install autoregressor
Once the library is installed, import the modules in your python notebook or any IDE of your choice.
$ import autoregreessor
from autoregressor import compute
We now have the package imported. To use the library, we use:
prediction = autoregressor(X_train , y_train , X_test)
Where,
- prediction - Predicted output of the Regression model.
- X_train - Training dataset
- y_train - Target variable of the training dataset *X_test - Testing dataset
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
autoregressor-1.0.0.tar.gz
(3.1 kB
view details)
Built Distribution
File details
Details for the file autoregressor-1.0.0.tar.gz
.
File metadata
- Download URL: autoregressor-1.0.0.tar.gz
- Upload date:
- Size: 3.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.8.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fe730ed6f5d6968bb8708588495fd1b5cdbd9d5304f40511ac08c03aa8d3a725 |
|
MD5 | 34ecc5808eb50dfcad4c42864a68d257 |
|
BLAKE2b-256 | 6851fd176cabc6f271b1e3028c20748a54acad925dc623a8159a54487e74cd6f |
File details
Details for the file autoregressor-1.0.0-py3-none-any.whl
.
File metadata
- Download URL: autoregressor-1.0.0-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.55.0 CPython/3.8.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0f50880b1a5087f5bb06da98453187ce15c9b44236c4fef32907d12afb74bdcd |
|
MD5 | fcf3917c04b5aa6c96022803d28f2ad2 |
|
BLAKE2b-256 | ea2146598a3544816b6887b96a786971eb7db5f03c37e31e061ab9e72bcf89c3 |