jameson module¶
A 1D Jameson sensor.
Classes:
|
A 1D Jameson Sensor. |
- class gemseo.mlearning.transform.sensor.jameson.JamesonSensor(name='JamesonSensor', threshold=0.3, removing_part=0.01, dimension=1)[source]¶
Bases:
gemseo.mlearning.transform.transformer.Transformer
A 1D Jameson Sensor.
- Attributes
name (str) – The name of the transformer.
parameters (str) – The parameters of the transformer.
- Parameters
name (str) –
threshold (float) –
removing_part (float) –
dimension (int) –
- Return type
None
Parameters: name: A name for this transformer. **parameters: The parameters of the transformer. name: A name for this transformer. threshold: The value to add to the denominator
to avoid zero division.
- removing_part: The level of the signal to
remove in order to avoid leading and trailing edge effects.
dimension: The dimension of the mesh.
Attributes:
Methods:
compute_jacobian
(data)Compute Jacobian of transformer.transform().
compute_jacobian_inverse
(data)Compute Jacobian of the transformer.inverse_transform().
Duplicate the current object.
fit
(data, *args)Fit the transformer to the data.
fit_transform
(data, *args)Fit the transformer to the data and transform the data.
inverse_transform
(data)Perform an inverse transform on the data.
transform
(data)Transform the data.
- CROSSED = False¶
- compute_jacobian(data)¶
Compute Jacobian of transformer.transform().
- Parameters
data (numpy.ndarray) – The data where the Jacobian is to be computed.
- Returns
The Jacobian matrix.
- Return type
NoReturn
- compute_jacobian_inverse(data)¶
Compute Jacobian of the transformer.inverse_transform().
- Parameters
data (numpy.ndarray) – The data where the Jacobian is to be computed.
- Returns
The Jacobian matrix.
- Return type
NoReturn
- duplicate()¶
Duplicate the current object.
- Returns
A deepcopy of the current instance.
- Return type
- fit(data, *args)[source]¶
Fit the transformer to the data.
- Parameters
data (numpy.ndarray) – The data to be fitted.
args (Union[float, int, str]) –
- Return type
None
- fit_transform(data, *args)¶
Fit the transformer to the data and transform the data.
- Parameters
data (numpy.ndarray) – The data to be transformed.
args (Union[float, int, str]) –
- Returns
The transformed data.
- Return type
numpy.ndarray
- inverse_transform(data)¶
Perform an inverse transform on the data.
- Parameters
data (numpy.ndarray) – The data to be inverse transformed.
- Returns
The inverse transformed data.
- Return type
NoReturn