HyperPlaneRegression#

class capymoa.stream.generator.HyperPlaneRegression[source]#

Bases: Stream

Generates HyperPlane Regression concepts functions.

>>> from capymoa.stream.generator import HyperPlaneRegression
...
>>> stream = HyperPlaneRegression()
>>> stream.next_instance()
RegressionInstance(
    Schema(generators.HyperplaneGeneratorForRegression ),
    x=ndarray(..., 10),
    y_value=205.17965508540908
)
>>> stream.next_instance().x
array([0.00485253, 0.85225356, 0.02341807, 0.70500995, 0.27502995,
       0.0753878 , 0.61059154, 0.95493077, 0.2740691 , 0.19020221])

__init__( instance_random_seed: int = 1, number_of_classes: int = 2, number_of_attributes: int = 10, number_of_drifting_attributes: int = 2, magnitude_of_change: float = 0.0, noise_percentage: int = 5, sigma_percentage: int = 10, )[source]#

Construct a HyperPlane Regression datastream generator.

Parameters:

instance_random_seed – Seed for random generation of instances, defaults to 1
number_of_classes – The number of classes of the generated instances, defaults to 2
number_of_attributes – The number of attributes of the generated instances, defaults to 10
number_of_drifting_attributes – The number of drifting attributes, defaults to 2
magnitude_of_change – Magnitude of change in the generated instances, defaults to 0.0
noise_percentage – Percentage of noise to add to the data, defaults to 10
sigma_percentage – Percentage of sigma to add to the data, defaults to 10

CLI_help() → str[source]#: Return cli help string for the stream.

get_moa_stream() → InstanceStream | None[source]#: Get the MOA stream object if it exists.

get_schema() → Schema[source]#: Return the schema of the stream.

has_more_instances() → bool[source]#: Return True if the stream have more instances to read.

next_instance() → LabeledInstance | RegressionInstance[source]#

Return the next instance in the stream.

Raises:: ValueError – If the machine learning task is neither a regression nor a classification task.
Returns:: A labeled instances or a regression depending on the schema.

restart()[source]#: Restart the stream to read instances from the beginning.