akkio-python
Convenient access to the Akkio API from python
Installation
pip install akkio
Usage
import akkio
akkio.api_key = 'YOUR-API-KEY-HERE' # get your API key at https://app.akk.io/team-settings
models = akkio.get_models()['models']
for model in models:
print(model)
datasets = akkio.get_datasets()['datasets']
for dataset in datasets:
print(dataset)
new_dataset = akkio.create_dataset('python api test')
print(new_dataset)
# create a toy dataset
import random
rows = []
for i in range(1000):
rows.append({
'x': random.random()
})
rows[-1]['y'] = rows[-1]['x'] > 0.5
akkio.add_rows_to_dataset(new_dataset['dataset_id'], rows)
new_model = akkio.create_model(new_dataset['dataset_id'], ['y'], [], {'duration': 1})
print(new_model)
prediction = akkio.make_prediction(new_model['model_id'], [{'x': 0.1}, {'x':0.7}], explain=True)
print(prediction)
Metadata
Release files for akkio 1.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| akkio-1.0.5.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| akkio-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.1 kB
Release files / akkio-1.0.5.tar.gz
| Download URL | akkio-1.0.5.tar.gz |
|---|---|
| Size | 2.0 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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No |
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twine/3.3.0 pkginfo/1.7.0 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.7
|
Release files / akkio-1.0.5-py3-none-any.whl
| Download URL | akkio-1.0.5-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.7.7
|