BaseHandler

BaseHandler(self, model, prototype_data)

Base handler class for creating VetiverModel of different type.

Parameters

Name	Type	Description	Default
model		a trained model	required
prototype_data		An object with information (data) whose layout is to be determined.	required

Methods

Name	Description
construct_prototype	Create data prototype for a model
create_meta	Create metadata for a model
describe	Create description for model
handler_predict	Generates method for /predict endpoint in VetiverAPI
handler_startup	Include required packages for prediction

construct_prototype

BaseHandler.construct_prototype()

Create data prototype for a model

Parameters

Name	Type	Description	Default
prototype_data	pd.DataFrame, np.ndarray, or None	Training data to create prototype	required

Returns

Type	Description
pd.DataFrame or None	Zero-row DataFrame for storing data types

create_meta

BaseHandler.create_meta(metadata)

Create metadata for a model

describe

BaseHandler.describe()

Create description for model

handler_predict

BaseHandler.handler_predict(input_data, check_prototype)

Generates method for /predict endpoint in VetiverAPI

The handler_predict function executes at each API call. Use this function for calling predict() and any other tasks that must be executed at each API call.

Parameters

Name	Type	Description	Default
input_data		Data used to generate prediction	required
check_prototype		If type should be checked against prototype or not	required

Returns

Type	Description
prediction	Prediction from model

handler_startup

BaseHandler.handler_startup()

Include required packages for prediction

The handler_startup function executes when the API starts. Use this function for tasks like loading packages.