instancelib-onnx
ONNX extension for instancelib.
Installation
You can install this package as follows:
pip install instancelib-onnx
Or by cloning this repo and issuing:
python setup.py
You will need at least Python 3.8 to use this library.
Usage
import instancelib as il
import ilonnx
# Specify the model location and the label translation
model = ilonnx.build_data_model("example_models/data-model.onnx",
{0: "Bedrijfsnieuws", 1: "Games", 2: "Smartphones"})
Then you can use the normal instancelib functionality to interact with the model.
# Load a dataset with instancelib
env = il.read_excel_dataset("datasets/testdataset.xlsx", ["fulltext"], ["label"])
# Assess the performance like any other instancelib model
performance = il.classifier_performance(model, env.dataset, env.labels)
performance.confusion_matrix
Metadata
Release files for instancelib-onnx 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| instancelib-onnx-0.1.3.tar.gz | 19.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| instancelib_onnx-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.4 kB
Release files / instancelib-onnx-0.1.3.tar.gz
| Download URL | instancelib-onnx-0.1.3.tar.gz |
|---|---|
| Size | 19.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
Release files / instancelib_onnx-0.1.3-py3-none-any.whl
| Download URL | instancelib_onnx-0.1.3-py3-none-any.whl |
|---|---|
| Size | 21.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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