pymks.tools.
draw_gridscores
(grid_scores, param, score_label=None, colors=None, data_labels=None, param_label=None, fontsize=20)¶Visualize the score values and standard deviations from grids scores result from GridSearchCV while varying 1 parameters.
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pymks.tools.
draw_gridscores_matrix
(grid_scores, params, score_label=None, param_labels=None)¶Visualize the score value matrix and standard deviation matrix from grids scores result from GridSearchCV while varying two parameters.
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pymks.tools.
draw_components
(X_comp, fontsize=15, figsize=None)¶Visualize spatial correlations.
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pymks.tools.
draw_component_variance
(variance)¶Visualize the percent variance as a function of components.
Parameters: | variance (list) – variance ratio explanation from dimensional reduction technique. |
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pymks.tools.
draw_goodness_of_fit
(fit_data, pred_data, labels)¶Goodness of fit plot for MKSHomogenizationModel.
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pymks.tools.
draw_correlations
(X_corr, correlations=None)¶Visualize spatial correlations.
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pymks.tools.
draw_autocorrelations
(X_auto, autocorrelations=None)¶Visualize spatial autocorrelations.
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pymks.tools.
draw_crosscorrelations
(X_cross, crosscorrelations=None)¶Visualize spatial crosscorrelations.
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pymks.tools.
draw_learning_curves
(estimator, X, y, ylim=None, cv=None, n_jobs=1, scoring=None, train_sizes=array([ 0.1, 0.325, 0.55, 0.775, 1. ]))¶Code taken from scikit-learn examples for version 0.15.
Generate a simple plot of the test and traning learning curve.
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pymks.tools.
draw_coeff
(coeff, fontsize=15, figsize=None)¶Visualize influence coefficients.
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pymks.tools.
draw_microstructures
(microstructures, labels=None, figsize=None)¶Draw microstructures
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pymks.tools.
draw_microstructure_strain
(microstructure, strain)¶Draw microstructure and its associated strain
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pymks.tools.
draw_strains
(strains, labels=None, fontsize=15)¶Draw strain fields
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pymks.tools.
draw_strains_compare
(strain_FEM, strain_MKS, fontsize=20)¶Draw comparison of strain fields.
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pymks.tools.
draw_concentrations
(concentrations, labels=None, fontsize=15)¶Draw comparison fields
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pymks.tools.
draw_concentrations_compare
(concentrations, labels, fontsize=15)¶Draw comparesion of concentrations.
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pymks.tools.
draw_differences
(differences, labels=None, fontsize=15)¶Draw differences in predicted response fields.
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