RamPy
Contents:
Philosophy
Installation
First Steps
Preprocessing
Peak fitting
Machine learning
Maps
rampy package
RamPy
Index
Index
A
|
B
|
C
|
D
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
W
|
X
|
Y
A
algorithm (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
area() (rampy.maps.maps method)
area_ratio() (rampy.maps.maps method)
B
background() (rampy.maps.maps method)
baseline() (in module rampy.baseline)
C
calibrate() (rampy.rameau.rameau method)
centroid() (in module rampy.spectranization)
(rampy.maps.maps method)
chemical_splitting() (in module rampy.ml_regressor)
constant() (in module rampy.functions)
create_gauss() (in module rampy.peak_shapes)
create_lorenz() (in module rampy.peak_shapes)
D
data_reduction() (rampy.rameau.rameau method)
despiking() (in module rampy.spectranization)
DG2017_calibrate() (in module rampy.rameau)
DG2017_predict() (in module rampy.rameau)
difffull() (in module rampy.functions)
diffshort() (in module rampy.functions)
F
fit() (rampy.ml_classification.mlclassificator method)
(rampy.ml_exploration.mlexplorer method)
(rampy.ml_regressor.mlregressor method)
fit_spectra() (in module rampy.rameau)
flipsp() (in module rampy.spectranization)
funexp() (in module rampy.functions)
funlog() (in module rampy.functions)
G
gauss_lsq() (in module rampy.functions)
gauss_lsq_lfix() (in module rampy.functions)
gaussian() (in module rampy.peak_shapes)
gaussianarea() (in module rampy.peak_area)
get_portion_interest() (in module rampy.baseline)
H
http (rampy.ml_exploration.mlexplorer attribute)
I
intensity() (rampy.maps.maps method)
intensity_ratio() (rampy.maps.maps method)
L
linear() (in module rampy.functions)
linear0() (in module rampy.functions)
LL2012_calibrate() (in module rampy.rameau)
LL2012_predict() (in module rampy.rameau)
lorentzian() (in module rampy.peak_shapes)
M
maps (class in rampy.maps)
mixing_sp() (in module rampy.mixing)
mlclassificator (class in rampy.ml_classification)
mlexplorer (class in rampy.ml_exploration)
mlregressor (class in rampy.ml_regressor)
model (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
module
rampy
rampy.baseline
rampy.filters
rampy.functions
rampy.maps
rampy.mixing
rampy.ml_classification
rampy.ml_exploration
rampy.ml_regressor
rampy.peak_area
rampy.peak_shapes
rampy.rameau
rampy.spectranization
rampy.tests
rampy.tests.test_baseline
rampy.tests.test_mixing
rampy.tests.test_mlclassificator
rampy.tests.test_mlexplorer
rampy.tests.test_mlregressor
rampy.tests.test_rameau
rampy.tests.test_smooth
rampy.tests.test_spectranization
rampy.tests.test_tlcorrection
rampy.tlcorrection
multigaussian() (in module rampy.functions)
N
names (rampy.rameau.rameau attribute)
,
[1]
normalise() (in module rampy.spectranization)
(rampy.maps.maps method)
P
p (rampy.rameau.rameau attribute)
,
[1]
param_bagging (rampy.ml_regressor.mlregressor attribute)
param_kr (rampy.ml_regressor.mlregressor attribute)
param_neurons (rampy.ml_regressor.mlregressor attribute)
param_svm (rampy.ml_regressor.mlregressor attribute)
params_ (rampy.ml_classification.mlclassificator attribute)
peak() (in module rampy.maps)
peakarea() (in module rampy.peak_area)
pearson7() (in module rampy.peak_shapes)
poly2() (in module rampy.functions)
predict() (rampy.ml_classification.mlclassificator method)
(rampy.ml_exploration.mlexplorer method)
(rampy.ml_regressor.mlregressor method)
(rampy.rameau.rameau method)
prediction_test (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_regressor.mlregressor attribute)
prediction_train (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_regressor.mlregressor attribute)
pseudovoigt() (in module rampy.peak_shapes)
R
rameau (class in rampy.rameau)
rampy
module
rampy.baseline
module
rampy.filters
module
rampy.functions
module
rampy.maps
module
rampy.mixing
module
rampy.ml_classification
module
rampy.ml_exploration
module
rampy.ml_regressor
module
rampy.peak_area
module
rampy.peak_shapes
module
rampy.rameau
module
rampy.spectranization
module
rampy.tests
module
rampy.tests.test_baseline
module
rampy.tests.test_mixing
module
rampy.tests.test_mlclassificator
module
rampy.tests.test_mlexplorer
module
rampy.tests.test_mlregressor
module
rampy.tests.test_rameau
module
rampy.tests.test_smooth
module
rampy.tests.test_spectranization
module
rampy.tests.test_tlcorrection
module
rampy.tlcorrection
module
rand_state (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
read_horiba() (in module rampy.maps)
read_renishaw() (in module rampy.maps)
refit() (rampy.ml_classification.mlclassificator method)
(rampy.ml_exploration.mlexplorer method)
(rampy.ml_regressor.mlregressor method)
Remarks (rampy.ml_exploration.mlexplorer attribute)
resample() (in module rampy.spectranization)
rs (rampy.rameau.rameau attribute)
,
[1]
rw (rampy.rameau.rameau attribute)
,
[1]
rws (rampy.rameau.rameau attribute)
,
[1]
S
scaler (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
scaling (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
shiftsp() (in module rampy.spectranization)
smooth() (in module rampy.filters)
(rampy.maps.maps method)
spectrafilter() (in module rampy.filters)
spectraoffset() (in module rampy.spectranization)
spectrarray() (in module rampy.spectranization)
spectrataux() (in module rampy.spectranization)
T
test_baseline() (rampy.tests.test_baseline.TestBaseline method)
test_centroid() (rampy.tests.test_spectranization.TestSpectranization method)
test_flipsp() (rampy.tests.test_spectranization.TestSpectranization method)
test_mixing() (rampy.tests.test_mixing.TestSmooth method)
test_mlclassificator() (rampy.tests.test_mlclassificator.TestMLC method)
test_mlexplorer() (rampy.tests.test_mlexplorer.TestML2 method)
test_mlregressor() (rampy.tests.test_mlregressor.TestML method)
test_normalise() (rampy.tests.test_spectranization.TestSpectranization method)
test_resample() (rampy.tests.test_spectranization.TestSpectranization method)
test_size (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
test_smooth() (rampy.tests.test_smooth.TestSmooth method)
test_tlcorrection() (rampy.tests.test_tlcorrection.Testtlcorrection method)
TestBaseline (class in rampy.tests.test_baseline)
TestML (class in rampy.tests.test_mlregressor)
TestML2 (class in rampy.tests.test_mlexplorer)
TestMLC (class in rampy.tests.test_mlclassificator)
TestSmooth (class in rampy.tests.test_mixing)
(class in rampy.tests.test_smooth)
TestSpectranization (class in rampy.tests.test_spectranization)
Testtlcorrection (class in rampy.tests.test_tlcorrection)
tlcorrection() (in module rampy.tlcorrection)
W
water (rampy.rameau.rameau attribute)
,
[1]
water_predicted (rampy.rameau.rameau attribute)
,
[1]
whittaker() (in module rampy.filters)
X
x (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
(rampy.rameau.rameau attribute)
,
[1]
X_scaler (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_regressor.mlregressor attribute)
X_test (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_exploration.mlexplorer attribute)
(rampy.ml_regressor.mlregressor attribute)
Y
y (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_regressor.mlregressor attribute)
(rampy.rameau.rameau attribute)
,
[1]
y_base (rampy.rameau.rameau attribute)
,
[1]
y_corr (rampy.rameau.rameau attribute)
,
[1]
Y_scaler (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_regressor.mlregressor attribute)
y_test (rampy.ml_classification.mlclassificator attribute)
(rampy.ml_regressor.mlregressor attribute)