FeatureVector
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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. |
to_dict(...)​
Turns vector into a Python dict.Parameters
return_effective_times
(bool
) - Whether to return the effective time of the feature. Default:false
Returns
Dict
[str
,Union
[int
, str
, bytes
, float
, list
, dict
, NoneType
]]: A Python dict.
to_numpy(...)​
Turns vector into a numpy array.Parameters
return_effective_times
(bool
) - Whether to return the effective time of the feature as part of the list. Default:false
Returns
array
: A numpy array.
to_pandas(...)​
Turns vector into a Pandas DataFrame.Parameters
return_effective_times
(bool
) - Whether to return the effective time of the feature as part of the DataFrame. Default:false
Returns
DataFrame
: A Pandas DataFrame.