Category : machine-learning

I am running confusion matrix on my own custom model using Tensorflow Object Detection API. I am using Faster R-CNN Inception v2 pets. I get this output: Processed 100 images Processed 200 images Processed 300 images Processed 400 images Processed 500 images Processed 500 images Confusion Matrix: [[1281. 233.] [ 581. 0.]] category [email protected] [email protected] ..

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I am able to show my box plots with a loop but they don’t have a color yet for i, numeric_feature in enumerate(numeric_features): box_plot = df.boxplot(vert=False, by=’Produktgruppe’, column=numeric_feature, figsize=(10,12), grid=False) plt.title("Figure " + str(i+1) + ": " + numeric_feature + " je Produktgruppe") plt.suptitle(”) Currently look like this: I want to have it like this: ..

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I am doing a Multi-class Text Classification. However, I have data that are repeating in the dataset. However, these are not duplicates, as they belong to different classes. The data is valid, these two classes are close to each other, The repeated text training data is not of the same class, but of diff classes ..

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