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lucas de oliveira carvalho 2022-10-11 09:28:53 -03:00
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scripts/Confusion_Matrix/README.md
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# CODE BY ZeroToMastery TensorFlow course.
# The function makes a labelled confusion matrix comparing predictions and ground truth labels.
The function makes a labelled confusion matrix comparing predictions and ground truth labels.
# If classes is passed, confusion matrix will be labelled, if not, integer class values
# will be used.
If classes is passed, confusion matrix will be labelled, if not, integer class values will be used.
## Args:
Args:
`y_true`: Array of truth labels (must be same shape as y_pred).
`y_pred`: Array of predicted labels (must be same shape as y_true).
`classes`: Array of class labels (e.g. string form). If `None`, integer labels are used.
`figsize`: Size of output figure (default=(10, 10)).
`text_size`: Size of output figure text (default=15).
`norm`: normalize values or not (default=False).
`savefig`: save confusion matrix to file (default=False).
* `y_true`: Array of truth labels (must be same shape as y_pred).
* `y_pred`: Array of predicted labels (must be same shape as y_true).
* `classes`: Array of class labels (e.g. string form). If `None`, integer labels are used.
* `figsize`: Size of output figure (default=(10, 10)).
* `text_size`: Size of output figure text (default=15).
* `norm`: normalize values or not (default=False).
* `savefig`: save confusion matrix to file (default=False).
Returns: A labelled confusion matrix plot comparing y_true and y_pred.
## Returns: A labelled confusion matrix plot comparing y_true and y_pred.
### Example usage:
"""make_confusion_matrix(y_true=test_labels, # ground truth test labels
> """make_confusion_matrix(y_true=test_labels, # ground truth test labels
y_pred=y_preds, # predicted labels
classes=class_names, # array of class label names
figsize=(15, 15),
text_size=10)"""
#### CODE BY ZeroToMastery TensorFlow course.