CSVStream

class capymoa.stream.CSVStream

Bases: Stream[_AnyInstance]

__init__(

csv_file_path,

dtypes: list = None,

values_for_nominal_features={},

class_index: int = -1,

values_for_class_label: list = None,

target_attribute_name=None,

target_type: str = None,

skip_header: bool = False,

delimiter=',',

dataset_name: str | None = None,

)

count_number_of_lines()

has_more_instances()

Return True if the stream have more instances to read.

next_instance() → _AnyInstance

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 a help message

__iter__() → Iterator[_AnyInstance]

Get an iterator over the stream.

This will NOT restart the stream if it has already been iterated over. Please use the restart() method to restart the stream.

Yield:

An iterator over the stream.

__next__() → _AnyInstance

Get the next instance in the stream.

Returns:

The next instance in the stream.