Prediction¶

class oci.generative_ai_inference.models.Prediction(**kwargs)¶

Bases: object

Configuration for a Predicted Output, which can greatly improve response times when large parts of the model response are known ahead of time. This is most common when you are regenerating a file with only minor changes to most of the content.

Attributes

`TYPE_CONTENT`	A constant which can be used with the type property of a Prediction.
`type`	[Required] Gets the type of this Prediction.

Methods

`__init__`(**kwargs)	Initializes a new Prediction object with values from keyword arguments.
`get_subtype`(object_dictionary)	Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

TYPE_CONTENT = 'CONTENT'¶: A constant which can be used with the type property of a Prediction. This constant has a value of “CONTENT”

__init__(**kwargs)¶

Initializes a new Prediction object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class:

StaticContent

The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:	type (str) – The value to assign to the type property of this Prediction. Allowed values for this property are: “CONTENT”

static get_subtype(object_dictionary)¶: Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

type¶

[Required] Gets the type of this Prediction. The type of the predicted content you want to provide. This type is currently always content.

Allowed values for this property are: “CONTENT”

Returns:	The type of this Prediction.
Return type:	str