Metadata-Version: 2.1
Name: pd-auto-ml
Version: 0.1.0
Summary: Pd auto_ml provides a pandas dataframe accessor to allow using dataframes with MindsDB (either the local native library or a local or remote mindsdb server)
Home-page: https://github.com/mindsdb/mindsdb_python_sdk
Author: MindsDB Inc
Author-email: jorge@mindsdb.com
License: GPL-3.0
Download-URL: https://pypi.org/project/pd_auto_ml/
Description: # Python MindsDB SDK
        It enables you to connect to a midnsDB server and use it in a similar way to mindsb_native.
        
        ## Install
        ```
        pip install mindsdb-client
        ```
        
        ## example of usage
        ```
        from mindsdb_client import MindsDB
        
        # connect
        mdb = MindsDB(server='https://mindsdb.com', params={'email': 'test@email.com', 'password': 'secret'})
        
        # upload datasource
        mdb.datasources.add('rentals_ds', path='home_rentals.csv')
        
        # create a new predictor and learn to predict
        predictor = mdb.predictors.learn(
            name='home_rentals_price',
            data_source_name='rentals_ds',
            to_predict=['rental_price']
        )
        
        # predict
        result = predictor.predict({'number_of_rooms': '2','number_of_bathrooms': '1', 'sqft': '1190'})
        ```
        
        ## tests
        
        Before run tests, change SERVER and CREDENTIAL constants in `tests/test.py` to relevant. After run `python3 tests/test.py`  
        Test file - is a place where you can find some examples of api usage.
        
        ## API Reference
        
        ### class MindsDB(server: str, params: dict)
        
        ### class DataSources()
        
        ### class DataSource()
        
        ### class Predictors()
        
        ### class Predictor()
        
        ### class Proxy()
        
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
