sf.apps.data.feature.FeatureDataset¶

class FeatureDataset[source]¶

Bases: abc.ABC

Base class for loading datasets of pre-calculated GBS feature vectors.

Each dataset contains a collection of feature vectors. The corresponding adjacency matrix for each feature vector and the orbits/events used are also provided.

n_mean¶

mean number of photons used in the GBS device

Type: float

method¶

method used to calculate the feature vectors; exact for exact calculation or mc for Monte Carlo estimation

Type: str

unit¶

signifies the unit of construction of feature vectors; orbits or events

Type: str

unit_data¶

list of orbits/events used to construct the feature vectors. Each orbit is a list of integers and each event must be provided as [total_photon_number, max_photon_per_mode]

Type: list[list[int]]

n_vectors¶

number of feature vectors provided in the dataset

Type: int

n_features¶

number of features in each feature vector

Type: int

vectors¶

array of feature vectors

Type: array

adjs¶

array of adjacency matrices of graphs for which feature vectors were calculated

Type: array

Attributes

`method`	rtype `str`
`n_mean`	rtype `float`
`unit`	rtype `str`
`unit_data`	rtype `list`

method

Return type: str

n_mean

Return type: float

unit

Return type: str

unit_data

Return type: list

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sf.apps.data.feature.FeatureDataset¶

Attributes

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