Index
A
B
C
D
E
F
- fit() (pysensors.basis.Custom method)
- (pysensors.basis.Identity method)
- (pysensors.basis.RandomProjection method)
- (pysensors.basis.SVD method)
- (pysensors.classification.SSPOC method)
- (pysensors.optimizers.CCQR method)
- (pysensors.optimizers.GQR method)
- (pysensors.optimizers.QR method)
- (pysensors.optimizers.TPGR method)
- (pysensors.reconstruction.SSPOR method)
- (pysensors.SSPOC method)
- (pysensors.SSPOR method)
G
- get_all_sensors() (pysensors.reconstruction.SSPOR method)
- get_constraint_indices() (pysensors.utils.BaseConstraint method)
- get_coordinates_from_indices() (in module pysensors.utils)
- get_functionalConstraind_sensors_indices() (pysensors.utils.BaseConstraint method)
- get_indices_from_coordinates() (in module pysensors.utils)
I
M
N
O
P
- Parabola (class in pysensors.utils)
- plot_constraint_on_data() (pysensors.utils.BaseConstraint method)
- plot_grid() (pysensors.utils.BaseConstraint method)
- plot_selected_sensors() (pysensors.utils.BaseConstraint method)
- Polygon (class in pysensors.utils)
- predetermined() (in module pysensors.utils)
- predict() (pysensors.classification.SSPOC method)
- pysensors
Q
R
S
- score() (pysensors.reconstruction.SSPOR method)
- selected_sensors (pysensors.classification.SSPOC property)
- sensors_dataframe() (pysensors.utils.BaseConstraint method)
- set_fit_request() (pysensors.classification.SSPOC method)
- set_n_sensors() (pysensors.reconstruction.SSPOR method)
- set_number_of_sensors() (pysensors.reconstruction.SSPOR method)
- set_predict_request() (pysensors.classification.SSPOC method)
- set_score_request() (pysensors.reconstruction.SSPOR method)
- SSPOC (class in pysensors)
- SSPOR (class in pysensors)
- std() (pysensors.reconstruction.SSPOR method)
- SVD (class in pysensors.basis)