# `PrequentialResults`

### *class* capymoa.evaluation.results.PrequentialResults[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L12)

Bases: [`object`](https://docs.python.org/3/builtins/functions.html#object)

#### \_\_init_\_(learner: [str](https://docs.python.org/3/builtins/stdtypes.html#str) | [None](https://docs.python.org/3/builtins/constants.html#None) = None, stream: [Stream](capymoa.stream.Stream.md#capymoa.stream.Stream) = None, wallclock: [float](https://docs.python.org/3/builtins/functions.html#float) | [None](https://docs.python.org/3/builtins/constants.html#None) = None, cpu_time: [float](https://docs.python.org/3/builtins/functions.html#float) | [None](https://docs.python.org/3/builtins/constants.html#None) = None, max_instances: [int](https://docs.python.org/3/builtins/functions.html#int) | [None](https://docs.python.org/3/builtins/constants.html#None) = None, cumulative_evaluator=None, windowed_evaluator=None, ground_truth_y: [ndarray](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray) | [None](https://docs.python.org/3/builtins/constants.html#None) = None, predictions: [ndarray](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray) | [None](https://docs.python.org/3/builtins/constants.html#None) = None, other_metrics: [dict](https://docs.python.org/3/builtins/stdtypes.html#dict) | [None](https://docs.python.org/3/builtins/constants.html#None) = None)[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L13)

#### cpu_time()[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L74)

#### ground_truth_y() → [ndarray](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray) | [None](https://docs.python.org/3/builtins/constants.html#None)[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L80)

#### max_instances()[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L77)

#### metrics_per_window()[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L89)

#### other_metrics()[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L86)

#### predictions() → [ndarray](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray) | [None](https://docs.python.org/3/builtins/constants.html#None)[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L83)

#### wallclock()[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L71)

#### write_to_file(path: [str](https://docs.python.org/3/builtins/stdtypes.html#str) = './', directory_name: [str](https://docs.python.org/3/builtins/stdtypes.html#str) | [None](https://docs.python.org/3/builtins/constants.html#None) = None)[[source]](https://github.com/adaptive-machine-learning/CapyMOA/blob/3e255b1/src/capymoa/evaluation/results.py#L64)

#### cumulative

The cumulative evaluator

#### learner *: [str](https://docs.python.org/3/builtins/stdtypes.html#str)*

The name of the learner

#### stream *: [Stream](capymoa.stream.Stream.md#capymoa.stream.Stream)*

The stream used to evaluate the learner

#### windowed

The windowed evaluator