Plotting
Plotting utilities.
plot_noise_model_probability_distribution(noise_model, signalBinIndex, histogram, channel=None, number_of_bins=100)
Plot probability distribution P(x|s) for a certain ground truth signal.
Predictions from both Histogram and GMM-based Noise models are displayed for comparison.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
noise_model
|
GaussianMixtureNoiseModel
|
Trained GaussianMixtureNoiseModel. |
required |
signalBinIndex
|
int
|
Index of signal bin. Values go from 0 to number of bins ( |
required |
histogram
|
NDArray
|
Histogram based noise model. |
required |
channel
|
Optional[str]
|
Channel name used for plotting. Default is None. |
None
|
number_of_bins
|
int
|
Number of bins in the resulting histogram. Default is 100. |
100
|