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April 2, 2019 22:17
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This gist contains code snippets for my blogpost: 'Random Forest with Python and Spark ML'
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| bestPipeline = cvModel.bestModel | |
| bestModel = bestPipeline.stages[1] | |
| importances = bestModel.featureImportances | |
| x_values = list(range(len(importances))) | |
| plt.bar(x_values, importances, orientation = 'vertical') | |
| plt.xticks(x_values, feature_list, rotation=40) | |
| plt.ylabel('Importance') | |
| plt.xlabel('Feature') | |
| plt.title('Feature Importances') |
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