FeatureVector

A FeatureVector is a representation of a single feature vector. Usage of a FeatureVector typically involves extracting the feature vector using to_pandas(), to_dict(), or to_numpy().

Methods

Name	Description
to_dict(...)	Turns vector into a Python dict.
to_numpy(...)	Turns vector into a numpy array.
to_pandas(...)	Turns vector into a Pandas DataFrame.

__init__(...)

Parameters

• names
• values
• effective_times
• slo_info (Default: None)

to_dict(...)

Parameters

• return_effective_times: False

Turns vector into a Python dict.

Parameters

return_effective_times: Whether to return the effective time of the feature.

Returns

A Python dict.

to_numpy(...)

Turns vector into a numpy array.

Parameters

return_effective_times: Whether to return the effective time of the feature as part of the list. (Default: False)

Returns

A numpy array.

to_pandas(...)

Turns vector into a Pandas DataFrame.

Parameters

return_effective_times: Whether to return the effective time of the feature as part of the DataFrame. (Default: False)

Returns

A Pandas DataFrame.