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
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Metadata
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Release files for autoregressor 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| autoregressor-1.0.0.tar.gz | 3.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autoregressor-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.4 kB
Release files / autoregressor-1.0.0.tar.gz
| Download URL | autoregressor-1.0.0.tar.gz |
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| Size | 3.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / autoregressor-1.0.0-py3-none-any.whl
| Download URL | autoregressor-1.0.0-py3-none-any.whl |
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| Size | 4.2 kB |
| Tags | Python 3 |
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Security for autoregressor 1.0.0
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