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24 lines
1.0 KiB
Markdown
24 lines
1.0 KiB
Markdown
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# CODE BY ZeroToMastery TensorFlow course.
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# The function makes a labelled confusion matrix comparing predictions and ground truth labels.
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# If classes is passed, confusion matrix will be labelled, if not, integer class values
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# will be used.
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## Args:
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`y_true`: Array of truth labels (must be same shape as y_pred).
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`y_pred`: Array of predicted labels (must be same shape as y_true).
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`classes`: Array of class labels (e.g. string form). If `None`, integer labels are used.
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`figsize`: Size of output figure (default=(10, 10)).
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`text_size`: Size of output figure text (default=15).
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`norm`: normalize values or not (default=False).
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`savefig`: save confusion matrix to file (default=False).
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## Returns: A labelled confusion matrix plot comparing y_true and y_pred.
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### Example usage:
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"""make_confusion_matrix(y_true=test_labels, # ground truth test labels
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y_pred=y_preds, # predicted labels
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classes=class_names, # array of class label names
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figsize=(15, 15),
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text_size=10)"""
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