op name for the model
optional list of attributes for the model
Convert to bundle model.
Convert to bundle model.
bundle registry from custom types
bundle model definition
Get an attribute.
Get an attribute.
Throws an error if it does not exist.
name of the attribute
the attribute
optional list of attributes for the model
optional list of attributes for the model
Get an attribute as an option.
Get an attribute as an option.
name of the attribute
Some(attribute) or None if it is not in the list
Get the Value of an attribute as an Option.
Get the Value of an attribute as an Option.
name of the attribute
Value of the attribute as an Option[Value], None if it does not exist
op name for the model
Replace the attributes with another list.
Replace the attributes with another list.
attributes to use to replace
copy of T with attributes replaced by list arg
Get the Value of an attribute.
Get the Value of an attribute.
Throws an error if that attribute does not exist.
name of the attribute
Value of the attribute
Add an optional attribute to the list.
Add an optional attribute to the list.
name of the attribute
optional value
a copy of T with the attribute optionally added
Add an attribute to the list.
Add an attribute to the list.
name of the attribute
value of the attribute
a copy of T with the attribute added
Add an optional attribute to the list.
Add an optional attribute to the list.
optional attribute to add to the list
a copy of T with the attribute optionally added
Add an attribute to the list.
Add an attribute to the list.
attribute to add to the list
a copy of T with the attribute added to the attribute list
Add a list of attributes to attributes.
Add a list of attributes to attributes.
Adds all attributes in the list argument to attributes.
list of attributes to add
copy of T with all attributes added to attributes
Class that encodes all information need to serialize or deserialize a machine learning model.
Models encode things like coefficients for linear regressions, labels for string indexers, sizes for one hot encoders, decision trees, and any other data needed to serialize and deserialize ML models and feature builders.
op name for the model
optional list of attributes for the model