Index

A

algorithm (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1]

als_baseline() (in module rampy.baseline) area() (rampy.maps.maps method), [1] area_ratio() (rampy.maps.maps method), [1] arPLS_baseline() (in module rampy.baseline)

B

background() (rampy.maps.maps method), [1] baseline (class in rampy.baseline)

baseline() (in module rampy.baseline) borate_T_corr() (in module rampy.dac)

C

calibrate() (rampy.rameau.rameau method) centroid (class in rampy.spectranization) centroid() (in module rampy.spectranization) (rampy.maps.maps method), [1]

chemical_splitting() (in module rampy.ml_regressor), [1] constant() (in module rampy.functions), [1] convert_x_units (class in rampy.spectranization) convert_x_units() (in module rampy.spectranization)

D

data_reduction() (rampy.rameau.rameau method) despiking (class in rampy.spectranization) despiking() (in module rampy.spectranization) DG2017_calibrate() (in module rampy.rameau)

DG2017_predict() (in module rampy.rameau) difffull() (in module rampy.functions), [1] diffshort() (in module rampy.functions), [1] drPLS_baseline() (in module rampy.baseline)

E

external_calibration() (rampy.rameau.rameau method)

extract_signal (class in rampy.baseline) extract_signal() (in module rampy.baseline)

F

fit() (rampy.ml_classification.mlclassificator method), [1] (rampy.ml_exploration.mlexplorer method), [1] (rampy.ml_regressor.mlregressor method), [1] fit_baseline() (in module rampy.baseline)

fit_spectra() (in module rampy.rameau) flipsp (class in rampy.spectranization) flipsp() (in module rampy.spectranization) funexp() (in module rampy.functions), [1] funlog() (in module rampy.functions), [1]

G

gauss_lsq() (in module rampy.functions), [1] gauss_lsq_lfix() (in module rampy.functions), [1]

gaussian() (in module rampy.peak_shapes), [1] gaussianarea() (in module rampy.peak_area), [1] get_portion_interest() (in module rampy.baseline)

H

http (rampy.ml_exploration.mlexplorer attribute), [1]

I

intensity() (rampy.maps.maps method), [1]

intensity_ratio() (rampy.maps.maps method), [1] invcm_to_nm() (in module rampy.spectranization)

L

linear() (in module rampy.functions), [1] linear0() (in module rampy.functions), [1]

LL2012_calibrate() (in module rampy.rameau) LL2012_predict() (in module rampy.rameau) lorentzian() (in module rampy.peak_shapes), [1]

M

maps (class in rampy.maps), [1] mixing_sp (class in rampy.mixing) mixing_sp() (in module rampy.mixing) mlclassificator (class in rampy.ml_classification), [1] mlexplorer (class in rampy.ml_exploration), [1] mlregressor (class in rampy.ml_regressor), [1] model (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1] module rampy.baseline rampy.dac rampy.filters rampy.functions, [1] rampy.maps, [1] rampy.mixing rampy.ml_classification, [1] rampy.ml_exploration, [1] rampy.ml_regressor, [1] rampy.peak_area, [1] rampy.peak_shapes, [1] rampy.plotting rampy.rameau rampy.spectranization rampy.tlcorrection setup

multigaussian() (in module rampy.functions), [1]

N

names (rampy.rameau.rameau attribute), [1] nm_to_invcm() (in module rampy.spectranization)

normalise (class in rampy.spectranization) normalise() (in module rampy.spectranization) (rampy.maps.maps method), [1]

P

p (rampy.rameau.rameau attribute), [1] param_bagging (rampy.ml_regressor.mlregressor attribute), [1] param_kr (rampy.ml_regressor.mlregressor attribute), [1] param_neurons (rampy.ml_regressor.mlregressor attribute), [1] param_svm (rampy.ml_regressor.mlregressor attribute), [1] params_ (rampy.ml_classification.mlclassificator attribute), [1] peak() (in module rampy.maps), [1] peakarea() (in module rampy.peak_area), [1] pearson7() (in module rampy.peak_shapes), [1] plot_spectrum (class in rampy.plotting)

plot_spectrum() (in module rampy.plotting) poly2() (in module rampy.functions), [1] predict() (rampy.ml_classification.mlclassificator method), [1] (rampy.ml_exploration.mlexplorer method), [1] (rampy.ml_regressor.mlregressor method), [1] (rampy.rameau.rameau method) prediction_test (rampy.ml_regressor.mlregressor attribute), [1] prediction_train (rampy.ml_regressor.mlregressor attribute), [1] pressure_sensor() (in module rampy.dac) pseudovoigt() (in module rampy.peak_shapes), [1]

R

rameau (class in rampy.rameau) rampy.baseline module rampy.dac module rampy.filters module rampy.functions module, [1] rampy.maps module, [1] rampy.mixing module rampy.ml_classification module, [1] rampy.ml_exploration module, [1] rampy.ml_regressor module, [1] rampy.peak_area module, [1] rampy.peak_shapes module, [1]

rampy.plotting module rampy.rameau module rampy.spectranization module rampy.tlcorrection module rand_state (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1] read_horiba() (in module rampy.maps), [1] read_renishaw() (in module rampy.maps), [1] refit() (rampy.ml_classification.mlclassificator method), [1] (rampy.ml_exploration.mlexplorer method), [1] (rampy.ml_regressor.mlregressor method), [1] Remarks (rampy.ml_exploration.mlexplorer attribute), [1] resample (class in rampy.spectranization) resample() (in module rampy.spectranization) rs (rampy.rameau.rameau attribute), [1] rubberband_baseline() (in module rampy.baseline) ruby_T_corr() (in module rampy.dac) rw (rampy.rameau.rameau attribute), [1] rws (rampy.rameau.rameau attribute), [1]

S

scale_data() (rampy.ml_classification.mlclassificator method), [1] scaler (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1] scaling (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1] setup module shiftsp (class in rampy.spectranization)

shiftsp() (in module rampy.spectranization) smooth (class in rampy.filters) smooth() (in module rampy.filters) (rampy.maps.maps method), [1] spectrafilter (class in rampy.filters) spectrafilter() (in module rampy.filters) spectraoffset() (in module rampy.spectranization) spectrarray() (in module rampy.spectranization) spectrataux() (in module rampy.spectranization) standardize_data() (in module rampy.baseline)

T

test_size (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1]

tlcorrection (class in rampy.tlcorrection) tlcorrection() (in module rampy.tlcorrection)

V

validate_input() (in module rampy.baseline)

W

water (rampy.rameau.rameau attribute), [1] water_predicted (rampy.rameau.rameau attribute), [1]

whittaker (class in rampy.filters) whittaker() (in module rampy.filters)

X

x (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1] (rampy.rameau.rameau attribute), [1]

X_scaler (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1] X_test (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_exploration.mlexplorer attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1]

Y

y (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1] (rampy.rameau.rameau attribute), [1] y_base (rampy.rameau.rameau attribute), [1]

y_corr (rampy.rameau.rameau attribute), [1] Y_scaler (rampy.ml_regressor.mlregressor attribute), [1] y_test (rampy.ml_classification.mlclassificator attribute), [1] (rampy.ml_regressor.mlregressor attribute), [1]