mathdatech/python-scripts
1
0
Fork 0
mirror of https://github.com/metafy-social/python-scripts.git synced 2024-11-27 14:01:12 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix README.md

Browse Source
This commit is contained in:
lucas de oliveira carvalho 2022-10-11 09:28:53 -03:00
parent bd842f4a2b
commit 2ab7ecf91d
1 changed files with 16 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

31
scripts/Confusion_Matrix/README.md
View File

@ -1,24 +1,25 @@
# 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 If classes is passed, confusion matrix will be labelled, if not, integer class values will be used.
# will be used.
## Args: Args:
`y_true`: Array of truth labels (must be same shape as y_pred). * `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). * `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. * `classes`: Array of class labels (e.g. string form). If `None`, integer labels are used.
`figsize`: Size of output figure (default=(10, 10)). * `figsize`: Size of output figure (default=(10, 10)).
`text_size`: Size of output figure text (default=15). * `text_size`: Size of output figure text (default=15).
`norm`: normalize values or not (default=False). * `norm`: normalize values or not (default=False).
`savefig`: save confusion matrix to file (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: ### 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 y_pred=y_preds, # predicted labels
classes=class_names, # array of class label names classes=class_names, # array of class label names
figsize=(15, 15), figsize=(15, 15),
text_size=10)""" text_size=10)"""
#### CODE BY ZeroToMastery TensorFlow course.