Metadata-Version: 2.1
Name: akkio
Version: 1.0.4
Summary: Convenient access to the Akkio API from python
Home-page: https://github.com/akkio-inc/akkio-python
Author: Abraham Parangi
Author-email: abe@akk.io
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/akkio-inc/akkio-python/issues
Description: # akkio-python
        Convenient access to the Akkio API from python
        ## Installation
        ```bash
        pip install akkio
        ```
        ## Usage
        ```python
        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)
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
