ServeIt 0.0.1.dev1

Machine learning prediction serving

# ServeIt

ServeIt deploys your trained models to a RESTful API for prediction serving. Current features include:

1. Model prediction serving
1. Model info endpoint creation
1. Logging

## Supported libraries
* Scikit-Learn

```python
from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression
from serveit.sklearn_server import SklearnServer

# fit a model on the Iris dataset
data = load_iris()
reg = LogisticRegression()
reg.fit(data.data, data.target)

# deploy model to a SkLearnServer
eds = SklearnServer(reg, reg.predict)

# add informational endpoints
eds.create_model_info_endpoint()
eds.create_info_endpoint('features', data.feature_names)
eds.create_info_endpoint('target_labels', data.target_names.tolist())

# start API
eds.serve()
```

## Limited functionality
* TensorFlow
* Keras
* PyTorch