MindsDB enables you to use ML predictions in your database using SQL. MindsDB automates and abstracts machine learning models through virtual AI Tables. It can easily make predictions over very complex multivariate time-series data with high cardinality. 
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Its features include:
<ul>
<li>Automatic data pre-processing, feature engineering and encoding</li>
<li>Classification, regression, time-series tasks</li>
<li>Bring models to production without &ldquo;traditional deployment&rdquo; as AI Tables</li>
<li>Get mModels&rsquo; accuracy scoring and confidence intervals for each prediction</li>
<li>Join ML models with existing data</li>
<li>Anomaly detection</li>
<li>Model explainability analysis</li>
<li>GPU support for models&rsquo; training</li>
<li>Open JSON-AI syntax to build models and bring your own ML blocks in a declarative way</li>
<li>REST API available as well</li>
</ul>

MindsDB enables you to use ML predictions in your database using SQL. MindsDB automates and abstracts machine learning models through virtual AI Tables. It can easily make predictions over very complex multivariate time-series data with high cardinality. 







MindsDB - In-Database Machine Learning



aiomysql is a "driver" for accessing a MySQL database from the asyncio (PEP-3156/tulip) framework. It depends on and reuses most parts of PyMySQL . aiomysql tries to be like awesome aiopg library and preserve same api, look and feel.Internally aiomysql is copy of PyMySQL, underlying io calls switched to async, basically yield from and asyncio.coroutine added in proper places)). sqlalchemy support ported from aiopg.

aiomysql - Library for accessing a MySQL database from the asyncio

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MindsDB - In-Database Machine Learning

aiomysql - Library for accessing a MySQL database from the asyncio

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