gaitmap.data_transform.AbsMaxScaler#
- class gaitmap.data_transform.AbsMaxScaler(out_max: float = 1)[source]#
Scale data by its absolute maximum.
The data y after the transform is calculated as
y = x * out_max / max(abs(x))
Note that the maximum over all columns is calculated. I.e. Only a single global scaling factor is applied to all the columns.
- Parameters:
- out_max
The value the maximum will be scaled to. After scaling the absolute maximum in the data will be equal to this value. Note that if the absolute maximum corresponds to a minimum in the data, this minimum will be scaled to
-out_max.
- Other Parameters:
- data
The data passed to the transform method.
- Attributes:
- transformed_data_
The transformed data.
Methods
clone()Create a new instance of the class with all parameters copied over.
from_json(json_str)Import an gaitmap object from its json representation.
get_params([deep])Get parameters for this algorithm.
set_params(**params)Set the parameters of this Algorithm.
to_json()Export the current object parameters as json.
transform(data, **_)Scale the data.
- clone() Self[source]#
Create a new instance of the class with all parameters copied over.
This will create a new instance of the class itself and all nested objects
- classmethod from_json(json_str: str) Self[source]#
Import an gaitmap object from its json representation.
For details have a look at the this example.
You can use the
to_jsonmethod of a class to export it as a compatible json string.- Parameters:
- json_str
json formatted string
- get_params(deep: bool = True) dict[str, Any][source]#
Get parameters for this algorithm.
- Parameters:
- deep
Only relevant if object contains nested algorithm objects. If this is the case and deep is True, the params of these nested objects are included in the output using a prefix like
nested_object_name__(Note the two “_” at the end)
- Returns:
- params
Parameter names mapped to their values.
- set_params(**params: Any) Self[source]#
Set the parameters of this Algorithm.
To set parameters of nested objects use
nested_object_name__para_name=.
