jameson module¶
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.TransformerA 1D Jameson Sensor.
- Parameters
name (str) –
A name for this transformer.
By default it is set to JamesonSensor.
threshold (float) –
The value to add to the denominator to avoid zero division.
By default it is set to 0.3.
removing_part (float) –
The level of the signal to remove in order to avoid leading and trailing edge effects.
By default it is set to 0.01.
dimension (int) –
The dimension of the mesh.
By default it is set to 1.
- Return type
None
- 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)¶
Fit the transformer to the data.
- Parameters
data (numpy.ndarray) – The data to be fitted.
- Return type
NoReturn
- fit_transform(data, *args)¶
Fit the transformer to the data and transform the data.
- Parameters
data (numpy.ndarray) – The data to be transformed.
- Returns
The transformed data.
- Return type
- 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
- transform(data)[source]¶
Transform the data.
- Parameters
data (numpy.ndarray) – The data to be transformed.
- Returns
The transformed data.
- Return type
- CROSSED = False¶