Added docstrings for Imagelab module, class, public methods and attri…

…butes (#91) * Added docstrings for Imagelab() and get_filepaths() * Added docstring for Imagelab._set_default_config() * Added docstring for imagelab.visualize() * Added docstrings in Imagelab.find_issues() * Added spacing in visualize documentation * Added docstrings for Imagelab.list_possible_issue_types() * Added examples in Imagelab.visualize() * Added docstrings for Imagelab.report() * Added docstrings for Imagelab.load() * Added docstrings for Imagelab class * Added docstrings for imagelab.py module * Fixed codeblock formatting * Added docstring to Imagelab.save() * Update src/cleanvision/utils/utils.py Co-authored-by: Elías Snorrason <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Elías Snorrason <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Added newline after code-block for proper formatting in sphinx documentation * Improved docstrings * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Changed style of param type * Added cross references * Docstring formatting improvements * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Removed examlpes_per_issue argument from visualize * Removed docstring for examples_per_issue * Added argument filepaths to Imagelab() * Renamed {issue_type}_bool column to is_{issue_type}_issue * Fixed mypy annotations * Added an argument to avoid overwriting files by default * Removed multiple import lines from same package * Removed an extra line * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Resolved comment * Resolved comment * Specify only one of data_path or filepaths, in all other cases throw ValueError * Added documentation for n_jobs * Improved docs formatting * Improved docs formatting * Fixed get_max_n_jobs * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Fixed flake8 error * Fixed mypy error * Update src/cleanvision/imagelab.py Co-authored-by: Jonas Mueller <[email protected]> * Renamed allow_overwrite to force * Updated imagelab.report() - Removed num_top_issues argument as it is unnecessary and can be controlled by verbosity - Changed max_prevalence to filter out issues in both cases where no issue_types are specified and also where issue_types are specified * Filter issues first and then limit by number of issues to report * Added print statement to indicate more issues were found --------- Co-authored-by: Elías Snorrason <[email protected]> Co-authored-by: Jonas Mueller <[email protected]>
cleanlab · Feb 18, 2023 · 8ef1882 · 8ef1882
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diff --git a/examples/demo.ipynb b/examples/demo.ipynb
diff --git a/examples/run.py b/examples/run.py
@@ -15,7 +15,7 @@
     This example demonstrates the default Imagelab workflow to detect various types of issues in an image dataset.
     """
 
-    imagelab = Imagelab(dataset_path)  # initalize imagelab
+    imagelab = Imagelab(data_path=dataset_path)  # initialize imagelab
     imagelab.list_default_issue_types()  # list default checks
     imagelab.visualize()  # visualize random images in dataset
 
@@ -24,12 +24,12 @@
 
     print("Summary of all issues checks\n", imagelab.issue_summary.to_markdown())
     imagelab.visualize(
-        issue_types=["blurry"], examples_per_issue=8
+        issue_types=["blurry"], num_images=8
     )  # visualize images that have specific issues
 
     # Get all images with blurry issue type
     blurry_images = imagelab.issues[
-        imagelab.issues["blurry_bool"] == True
+        imagelab.issues["is_blurry_issue"] == True
     ].index.to_list()
     imagelab.visualize(image_files=blurry_images)  # visualize the given image files
 
@@ -42,14 +42,14 @@
     Example 2
 
     This example demonstrates using Imagelab to:
-    1. Check data for specific types of issues
+    1. Check data for specific types of issues
     2. Incrementally detect additional types of issues with  existing Imagelab
     3. Specify nondefault parameter to use when detecting a particular issue type (e.g. a different threshold)
     4. Save and load Imagelab to file
     5. Report only specific issue types
     """
 
-    imagelab = Imagelab(dataset_path)
+    imagelab = Imagelab(data_path=dataset_path)
     issue_types = {"near_duplicates": {}}
     imagelab.find_issues(issue_types)
     imagelab.report()
@@ -78,7 +78,7 @@
     4. Increase the size of images in the grid displayed by visualize
     """
 
-    imagelab = Imagelab(dataset_path)
+    imagelab = Imagelab(data_path=dataset_path)
     imagelab.find_issues()
     imagelab.report(["near_duplicates"])
 
@@ -93,10 +93,10 @@
 
     # Report arg values here will overwrite verbosity defaults
     # Find top examples suffering from issues that are not present in more than 1% of the dataset
-    imagelab.report(num_top_issues=5, max_prevalence=0.01)
+    imagelab.report(max_prevalence=0.01)
 
     # Increase cell_size in the grid
-    imagelab.visualize(issue_types=["light"], examples_per_issue=8, cell_size=(3, 3))
+    imagelab.visualize(issue_types=["light"], num_images=8, cell_size=(3, 3))
 
     """
     Example 4
@@ -106,7 +106,7 @@
     # Run imagelab on custom issue
     from custom_issue_manager import CustomIssueManager
 
-    imagelab = Imagelab(dataset_path)
+    imagelab = Imagelab(data_path=dataset_path)
     issue_name = CustomIssueManager.issue_name
     imagelab.list_possible_issue_types()