prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d¶
phase space plotter 1D module
Module Contents¶
Classes¶
PhaseSpacePlotter1D |
Class PhaseSpacePlotter1D. |
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class
prevision_quantum_nn.postprocessing.plotter.phase_space_plotter_1d.PhaseSpacePlotter1D(plotting_params)¶ Bases:
prevision_quantum_nn.postprocessing.plotter.phase_space_plotter.PhaseSpacePlotterClass PhaseSpacePlotter1D.
Plotter for a phase space of dimension 1
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x_val¶ validation features to be plotted with the phase space
Type: numpy array
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y_val¶ validation labels to be plotted with the phase space
Type: numpy array
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x_plot¶ array of features to map the phase space
Type: numpy array
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has_validation¶ tells if validation is set to on or not
Type: bool
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set_validation_data(self, features, labels)¶ Sets validation data.
Parameters: - features (numpy array) – validation features to be plotted with the phase space
- labels (numpy array) – validation labels to be plotted with the phase space
Raises: ValueError if dimensions do not match 1
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prepare_phase_space(self)¶ Prepare phase space of PhaseSpacePlotter1D.
Checks consistency of min and max creates x_plot for predicting and drawing
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plot(self, model)¶ - Plot the phase space of a model predictions
- in 1D at current_iteration
Parameters: - model (QuantumNeuralNetwork) – model to be used to plot phase space
- cuttent_iteration (int) – iteration at which the model is
- force_plot (bool) – if current iteration does not match verbose_period, you can also force the plot with this option set to True
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