NumpyStream

class capymoa.stream.NumpyStream

Bases: Stream

A datastream originating from a numpy array.

__init__(

X: ndarray,

y: ndarray,

dataset_name='No_Name',

feature_names=None,

target_name=None,

target_type: str = None,

)

Construct a NumpyStream object from a numpy array.

Parameters:

• X – Numpy array of shape (n_samples, n_features) with the feature values

• y – Numpy array of shape (n_samples,) with the target values

• dataset_name – The name to give to the datastream, defaults to “No_Name”

• feature_names – The names given to the features, defaults to None

• target_name – The name given to target values, defaults to None

• target_type – ‘categorical’ or ‘numeric’ target, defaults to None

has_more_instances()

Return True if the stream have more instances to read.

next_instance() → LabeledInstance | RegressionInstance

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.

get_schema()

Return the schema of the stream.

get_moa_stream()

Get the MOA stream object if it exists.

restart()

Restart the stream to read instances from the beginning.

CLI_help() → str

Return cli help string for the stream.