AIFrameWork
This is a Python library that provides functionality for performing machine learning tasks with ease.
Installation
You can install this library using pip:
pip install AIFrameWork
Usage
Here is an example of how to use this library.
SINGLE TARGET REGRESSION
from my_library import RegressionSingleTarget
Create an instance of the regression model
model = RegressionSingleTarget()
Fit the model to the training data
model.fit(X_train, y_train)
Predict on the test data
y_pred = model.predict(X_test)
1 maintainer
Metadata
1 maintainer
Release files for AIFrameWork 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| AIFrameWork-0.0.5.tar.gz | 3.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| AIFrameWork-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.0 kB
Release files / AIFrameWork-0.0.5.tar.gz
| Download URL | AIFrameWork-0.0.5.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / AIFrameWork-0.0.5-py3-none-any.whl
| Download URL | AIFrameWork-0.0.5-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Security for AIFrameWork 0.0.5
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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