tecton.FeatureVector

class tecton.FeatureVector(names, values, effective_times, slo_info=None)

FeatureVector Class.

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

__init__	Method generated by attrs for class FeatureVector.
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__(names, values, effective_times, slo_info=None)

Method generated by attrs for class FeatureVector.

to_dict(return_effective_times=False)

Turns vector into a Python dict.

Param

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

Returns

A Python dict.

to_numpy(return_effective_times=False)

Turns vector into a numpy array.

Param

return_effective_times: Whether to return the effective time of the feature as part of the list.

Returns

A numpy array.

to_pandas(return_effective_times=False)

Turns vector into a Pandas DataFrame.

Param

return_effective_times: Whether to return the effective time of the feature as part of the DataFrame.

Returns

A Pandas DataFrame.