cpdbench.dataset.CPDDataset 

 1from abc import abstractmethod, ABC
 2from numpy import ndarray
 3
 4
 5class CPDDataset(ABC):
 6    """
 7    Abstract class representing a dataset.
 8    """
 9
10    @abstractmethod
11    def init(self) -> None:
12        """
13        Initialization method to prepare the dataset.
14        Examples: Open a file, open a db connection etc.
15        """
16        pass
17
18    @abstractmethod
19    def get_signal(self) -> tuple[ndarray, list[int]]:
20        """
21        Returns the timeseries as numpy array.
22        :return: A 2D ndarray containing the timeseries (time x feature)
23        """
24        pass
25
26    @abstractmethod
27    def get_validation_preview(self) -> tuple[ndarray, list[int]]:
28        """Return a smaller part of the complete signal for fast runtime validation.
29        :return: A 2D ndarray containing the timeseries (time x feature)
30        """
31        pass
class CPDDataset(abc.ABC): 
 6class CPDDataset(ABC):
 7    """
 8    Abstract class representing a dataset.
 9    """
10
11    @abstractmethod
12    def init(self) -> None:
13        """
14        Initialization method to prepare the dataset.
15        Examples: Open a file, open a db connection etc.
16        """
17        pass
18
19    @abstractmethod
20    def get_signal(self) -> tuple[ndarray, list[int]]:
21        """
22        Returns the timeseries as numpy array.
23        :return: A 2D ndarray containing the timeseries (time x feature)
24        """
25        pass
26
27    @abstractmethod
28    def get_validation_preview(self) -> tuple[ndarray, list[int]]:
29        """Return a smaller part of the complete signal for fast runtime validation.
30        :return: A 2D ndarray containing the timeseries (time x feature)
31        """
32        pass

Abstract class representing a dataset.

@abstractmethod
def init(self) -> None: 
11    @abstractmethod
12    def init(self) -> None:
13        """
14        Initialization method to prepare the dataset.
15        Examples: Open a file, open a db connection etc.
16        """
17        pass

Initialization method to prepare the dataset. Examples: Open a file, open a db connection etc.

@abstractmethod
def get_signal(self) -> tuple[numpy.ndarray, list[int]]: 
19    @abstractmethod
20    def get_signal(self) -> tuple[ndarray, list[int]]:
21        """
22        Returns the timeseries as numpy array.
23        :return: A 2D ndarray containing the timeseries (time x feature)
24        """
25        pass

Returns the timeseries as numpy array.

Returns

A 2D ndarray containing the timeseries (time x feature)

@abstractmethod
def get_validation_preview(self) -> tuple[numpy.ndarray, list[int]]: 
27    @abstractmethod
28    def get_validation_preview(self) -> tuple[ndarray, list[int]]:
29        """Return a smaller part of the complete signal for fast runtime validation.
30        :return: A 2D ndarray containing the timeseries (time x feature)
31        """
32        pass

Return a smaller part of the complete signal for fast runtime validation.

Returns

A 2D ndarray containing the timeseries (time x feature)