Sensor#
- class capymoa.datasets.Sensor[source]#
Bases:
_DownloadableARFF
Sensor stream is a classification problem based on indoor sensor data.
Number of instances: 2,219,803
Number of attributes: 5
Number of classes: 54
The stream contains temperature, humidity, light, and sensor voltage collected from 54 sensors deployed in Intel Berkeley Research Lab. The classification objective is to predict the sensor ID.
References:
- __init__(
- directory: str | Path = get_download_dir(),
- auto_download: bool = True,
Setup a stream from an ARFF file and optionally download it if missing.
- Parameters:
directory – Where downloads are stored. Defaults to
capymoa.datasets.get_download_dir()
.auto_download – Download the dataset if it is missing.
- __iter__() Iterator[_AnyInstance] [source]#
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 [source]#
Get the next instance in the stream.
- Returns:
The next instance in the stream.
- next_instance() _AnyInstance [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.