zhiminy/EvalEng huggingface dataset:
Repository: Giskard-AI/giskard-oss
Issue: import tensorflow fails on python 3.7 for mac x86 emulation
Root cause: Environment Incompatibility

[GSK-368](https://giskard.youtrack.cloud/issue/GSK-368)



Not a Giskard issue. Maybe linked to my local setup.  It works correctly on a x86 Amazon Linux instance. Discovered during the step 4 of the Python 3.7 test plan.



Project: Giskard
Reporter: alex
Created: 2022-11-15
Repository: Giskard-AI/giskard-oss
Issue: Migrate vue component declaration from @Component to composition API
GitHub labels: good first issue

yt

p:normal

d:easy

[GSK-351](https://giskard.youtrack.cloud/issue/GSK-351)



## Newly created components should ONLY use composition API of Vue 2.7



### Migration:



`vue-property-decorator` library doesn't support Vue 3, so in order to migrate to Vue 3 we have to migrate component definition from @Component to composition API

* [ ] Admin.vue
* [x] AdminUsers.vue
* [x] App.vue
* [ ] AuthPortal.vue
* [x] ButtonModalConfirmation.vue
* [ ] CreateUser.vue
* [ ] CustomInspectionFilter.vue
* [x] Dashboard.vue
* [ ] DatasetSelector.vue
* [x] Datasets.vue
* [x] EditUser.vue
* [ ] EditableLabel.vue
* [ ] ErrorToast.vue
* [x] FeedbackDetail.vue
* [x] FeedbackList.vue
* [ ] FeedbackPopover.vue
* [ ] InspectionFilter.vue
* [ ] Inspector.vue
* [x] InspectorLauncher.vue
* [ ] InspectorWrapper.vue
* [x] InviteUsers.vue
* [x] Login.vue
* [ ] Main.vue
* [x] MessageReply.vue
* [ ] ModelSelector.vue
* [x] Models.vue
* [ ] MultiSelector.vue
* [x] OverlayLoader.vue
* [x] PasswordRecovery.vue
* [ ] PredictionExplanations.vue
* [ ] PredictionResults.vue
* [x] Project.vue
* [ ] ProjectOverview.vue
* [x] ProjectsHome.vue
* [x] ResetPassword.vue
* [ ] ResultPopover.vue
* [ ] RouterComponent.vue
* [x] Signup.vue
* [ ] Start.vue
* [ ] TestCreateModal.vue
* [ ] TestEditor.vue
* [ ] TestSuite.vue
* [ ] TestSuiteCreateModal.vue
* [ ] TestSuiteSettings.vue
* [ ] TestSuites.vue
* [ ] Tests.vue
* [x] TextExplanation.vue
* [ ] UploadButton.vue
* [x] UserProfile.vue
* [x] UserProfileEditPassword.vue



Project: Giskard
Reporter: aavtomonov
Created: 2022-11-13
Repository: Giskard-AI/giskard-oss
Issue: Etam issue on image not building in their particular AWS architecture
Root cause: Environment Incompatibility

[GSK-350](https://giskard.youtrack.cloud/issue/GSK-350)



Check if we can support this architecture



Project: Giskard
Reporter: jmjm
Created: 2022-11-10

@jmsquare this one is fixed now isn't it? Did they manage to install Giskard on their ARM server?

fixed in v1.3.0
Repository: Giskard-AI/giskard-oss
Issue: Test if fit and fit_transform are switched in training process
Root cause: Unimplemented Feature Gap

[GSK-349](https://giskard.youtrack.cloud/issue/GSK-349)



Following CGI issues, we need to :

1. Create a test that compare for i in rows of the dataset prediction_function(RNM)[I] and prediction_function(RNM.iloc[[i]]). This a reliability test
2. Put a notification in AI Inspect saying that the prediction returns a value that is different from the prediction with the whole dataframe. Return to a FAQ in the doc
3. Think about other reliability tests that we can create. We think about tests in our giskard-client checks before uploading



Project: Giskard
Reporter: jmjm
Created: 2022-11-09
Repository: Giskard-AI/giskard-oss
Issue: CGI -- problem with custom filtering
Root cause: Algorithmic Error

[GSK-348](https://giskard.youtrack.cloud/issue/GSK-348)



When selecting the custom filter, and setting:

* `Actual labels = 0`
* `Predicted labels = 1` 

one of the data entries shown has:

* `Actual labels = 0`
* `Predicted labels = 0` 



Upon investigation, when we click on `Model --> Inspect` (i.e. the inspection is done for the whole dataset) this is the data entry in question:

```text
,ETAB_ACT_DATE_DEBUT_ACTIVITE,ETAB_ACT_MODALITE_EXERCICE,GEST_MAJ_DATE,GDP_FLAG_RGE,ENT_ACT_DATE_IMMAT_RM,ENT_ACT_NON_SEDENTAIRE,ENT_GEST_MAJ_DATE,ENT_GEST_NON_DIFFUSION,DIR_ID_NATIONALITE,DIR_ID_DATE_NAISSANCE,DIR_ID_LISTE_DIFFUSION,DIR_ID_DATE_DEBUT_ACTIVITE,DIR_ADR_PAYS,DIR_FOR_FORAIN,DIR_QA_QUALIFICATION,DIR_QA_DATE,DIR_GEST_MAJ_DATE,INTITULE_ORIGINE_ETABLISSEMENT,INTITULE_CATEGORIE_ETABLISSEMENT,ETAB_NON_SEDENTAIRE,ETAB_AUDIT,DIR_CC_PRESENT,DIR_NATION,TYPOLOGIE_URBAIN_RURAL,ENT_ACT_FORME_JURIDIQUE_2
54,13.971252566735114,Permanente,7.468856947296373,0,13.943874058863791,0,7.468856947296373,False,050,70.48596851471595,0,13.971252566735114,FRANCE,0,SANS QUALIFICATION,121.84804928131418,7.468856947296373,Création,Siège et établissement principal,0,1,0,Fr,urbain densité intermédiaire,54,0
```

and the prediction (for labels [0, 1]) is:

```
0.49382649000731726,0.5061735099926827
```

\-------------



Now when skimming through the data, i.e. running prediction only on this entry, this is the resulting prediction  (for labels [0, 1]) instead is: 

```
0.72773,0.27227
```

so completely different predictions.



Project: Giskard
Reporter: rabah
Created: 2022-11-09

@rabah-khalek, could you remind me of the status of this issue? I remember we discussed it

We found out that CGI's model has different results based on the size of the dataset passed to the model. In the last dataset subset, they sent us, one would get different results for:
```
print(prediction_function(RNM)[54])
print(prediction_function(RNM.iloc[[54]]))
```
which might hint that they have the equivalent of `fit_transform` in their `prediction_function`. We indicated this issue to them, but @jmsquare might have a better idea on the follow-up.

Thanks! Seems like nothing else to do on this topic on our side then

I believe so, this issue can be closed for now.
Repository: Giskard-AI/giskard-oss
Issue: Users who are "AI creator" and "AI Tester" do not have the rights to create a test suite
GitHub labels: bug

yt

p:major

[GSK-343](https://giskard.youtrack.cloud/issue/GSK-343)



![](image.png){width=70%}



Project: Giskard
Reporter: jmjm
Created: 2022-11-08
Repository: Giskard-AI/giskard-oss
Issue: Impossible to delete a project
GitHub labels: yt

p:normal

[GSK-272](https://giskard.youtrack.cloud/issue/GSK-272)



This project is impossible to delete : <https://dev.giskard.ai/main/projects/548/>



Project: Giskard
Reporter: jmjm
Created: 2022-09-09
Repository: Giskard-AI/giskard-oss
Issue: Option to sort the tests in the test-suites
GitHub labels: yt

p:normal

[GSK-295](https://giskard.youtrack.cloud/issue/GSK-295)



Provide a "sort by" option for users where users can sort by either test name(A-Z), last executed(last executed displayed first), created by (last created displayed first) in the page 



![](image.png){width=70%}



Project: Giskard
Reporter: princy
Created: 2022-09-22
Repository: Giskard-AI/giskard-oss
Issue: when deleting a dataset (and probably a model) that's used in inspection ZST files are deleted, but not the DB entry
Root cause: Validation Gap

[GSK-296](https://giskard.youtrack.cloud/issue/GSK-296)







Project: Giskard
Reporter: aavtomonov
Created: 2022-09-28
Repository: Giskard-AI/giskard-oss
Issue: Display shape of dataset on the Dataset page as part of dataset metadata
Root cause: Unimplemented Feature Gap

[GSK-300](https://giskard.youtrack.cloud/issue/GSK-300)



Currently, the user can see the number of rows only when he inspects which can be a tedious task when they have to see the total number of rows while looking at the test suits. To improve user experience, it is better to display the shape of the dataset on the Dataset page as part of the dataset metadata.



Project: Giskard
Reporter: princy
Created: 2022-09-30
Repository: Giskard-AI/giskard-oss
Issue: Column Types should be considered while creating tests  example : Numerical tests should not be created for text only dataset
Root cause: Validation Gap

[GSK-318](https://giskard.youtrack.cloud/issue/GSK-318)



Currently, we do not consider column type while creating the tests. The result is : we create numerical drift tests for the dataset with a single text column with the label as the target.



To recreate the issue:<https://dev.giskard.ai/main/projects/6755/test-suites/6764/test/6765>  (Numerical drift Kolmogorov-Smirnov create for text-only dataset)

Notebook Used:  <https://github.com/Giskard-AI/examples/blob/main/Text_classification_Using_Tensorflow_Neural_Network.ipynb>



Project: Giskard
Reporter: princy
Created: 2022-10-13
Repository: Giskard-AI/giskard-oss
Issue: Remove the error and warning when user does pip install giskard in colab (flask issues, etc.).
Root cause: Configuration Error

[GSK-333](https://giskard.youtrack.cloud/issue/GSK-333)



A default Colab environment already has some of the Giskard peer dependencies installed, but the versions are not the ones that giskard needs, for example for `Jinja2`

Giskard can still be installed but pip prints a warning message.



Since jinja2 is coming from `eli5` dependency the same error message appears when one just installs eli5 in a blank colab environment:

`!pip install eli5`





See <https://colab.research.google.com/drive/1b8Sss3SZif9yRABWfv6l_T8lBN0hnE-L>








Project: Giskard
Reporter: aavtomonov
Created: 2022-11-02
Repository: Giskard-AI/giskard-oss
Issue: Update Notion page for "Running Giskard on local without docker" with the latest External ML-worker
GitHub labels: yt

p:normal

[GSK-307](https://giskard.youtrack.cloud/issue/GSK-307)



Update Notion page for "Running Giskard on local without docker" with the latest External ML-worker



Project: Giskard
Reporter: princy
Created: 2022-10-06
Repository: Giskard-AI/giskard-oss
Issue: Prepare public contributions
Root cause: Documentation Deficiency

[GSK-245](https://giskard.youtrack.cloud/issue/GSK-245)



* [ ] Write README.dev.md
* [ ] Migrate YouTrack to GH

Explain how to configure the development environment for local development



Project: Giskard
Reporter: aavtomonov
Created: 2022-08-10
Repository: Giskard-AI/giskard-oss
Issue: Demo project not working in local (segmentation violation error)
Root cause: Resource Mishandling

[GSK-323](https://giskard.youtrack.cloud/issue/GSK-323)



Segmentation Violation error while running tests with huggingface model

Error while running tests for large model:
Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

You have to create tests for the following model . Notebook to recreate the model: <https://github.com/Giskard-AI/examples/blob/main/Sentiment_Analysis_for_Twitter_Data.ipynb>



Project: Giskard
Reporter: princy
Created: 2022-10-19
Repository: Giskard-AI/giskard-oss
Issue: Option to star projects as favourite for easy of navigation on project page
GitHub labels: yt

p:normal

[GSK-316](https://giskard.youtrack.cloud/issue/GSK-316)



If user has 100 projects it becomes really difficult to navigate though the ones that he will be frequently using . 

So we provide the option to star the project . For Example:  star a branch in intellij and it is displayed on the top of all the branches .



Project: Giskard
Reporter: princy
Created: 2022-10-11
Repository: Giskard-AI/giskard-oss
Issue: Remove actual and reference datasets
Root cause: Unimplemented Feature Gap

[GSK-291](https://giskard.youtrack.cloud/issue/GSK-291)



* In test suite parameter, instead of actual dataset and reference datasets, put dataset 1, dataset 2, etc.
* Put only dataset 1 as mandatory
* Change the yaml file accordingly and the small description in the UI of tests

This feature is essential for citibeats to create one unique test suite when they have multiple data sets they created from scratch to test their model



Project: Giskard
Reporter: jmjm
Created: 2022-09-21
Repository: Giskard-AI/giskard-oss
Issue: Lime:  make the highlighting more selective
GitHub labels: yt

p:major

[GSK-107](https://giskard.youtrack.cloud/issue/GSK-107)




#392 


Project: Giskard
Reporter: jmjm
Created: 2022-05-16

For this, I added a slider to select the importance of the lime highlighting.
For verification, be sure to test over large texts.
Repository: Giskard-AI/giskard-oss
Issue: Python 3.8 instead of 3.7 in MLWorker
Root cause: Environment Incompatibility

[GSK-298](https://giskard.youtrack.cloud/issue/GSK-298)



To avoid M1 chip issues when installing Python 3.7 when contributing, move from Python 3.7 to 3.8



Project: Giskard
Reporter: jmjm
Created: 2022-09-28

@jmsquare I don't think this is relevant anymore since the internal worker is only used for demo projects
Repository: Giskard-AI/giskard-oss
Issue: Numerical Binning for drift tests not working properly
Root cause: Algorithmic Error

[GSK-189](https://giskard.youtrack.cloud/issue/GSK-189)



Need to discuss with @jmjm  and change the implementation as the current implementation is not working as expected . 



Project: Giskard
Reporter: princy
Created: 2022-07-07
Repository: Giskard-AI/giskard-oss
Issue: Create output_df for all tests
Root cause: Unimplemented Feature Gap

[GSK-235](https://giskard.youtrack.cloud/issue/GSK-235)



Create output df for the rows which do not comply to the test specifications and send these rows to the frontend



Project: Giskard
Reporter: princy
Created: 2022-08-02
Repository: Giskard-AI/giskard-oss
Issue: Make column_types optional
Root cause: Unimplemented Feature Gap

[GSK-255](https://giskard.youtrack.cloud/issue/GSK-255)



Since column_types is only used for the UI and AI Test (we don't use it to read cast dataframe at upload time), we can infer automatically the types.

Something like if value_count(column) is less than 15, dtype is category

If the inferred types are  not the good one, users **should change directly in the UI**



Project: Giskard
Reporter: jmjm
Created: 2022-08-29
Repository: Giskard-AI/giskard-oss
Issue: ML Worker error > Need for a screen to view the log
Root cause: Unimplemented Feature Gap

[GSK-164](https://giskard.youtrack.cloud/issue/GSK-164)



This would be much needed for customers to debug what is going on with an ML prediction error



Project: Giskard
Reporter: alex
Created: 2022-06-27
Repository: Giskard-AI/giskard-oss
Issue: Problem with Automatic test due to dataset without target
Root cause: Validation Gap

[GSK-180](https://giskard.youtrack.cloud/issue/GSK-180)



Steps to reproduce the test 

In the test suits : 

1. Create automatic tests with prod data(without target) and with train data(with target) for German credit scoring 

&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2.  Run automatic testing 

&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3. Run all tests .

You will observe the some tests fail due to missing target value eg . Precision value Difference test 



Project: Giskard
Reporter: princy
Created: 2022-07-05

This issue will be gone with the AI Test v2
Repository: Giskard-AI/giskard-oss
Issue: Multi output - recommender system
Root cause: Unimplemented Feature Gap

[GSK-283](https://giskard.youtrack.cloud/issue/GSK-283)



Asked by unify.

Things to change :

* UI in AI Inspect :  
  * the prediction section will change
  * Shapley
* AI test : performance test
* Giskard client :
  * new category
  * Predict is manadatory: dictionary of a product with the associated probability
  * Predict proba is not mandatory
  * Put a description for each label (URL): so that people can hover
  * error handling: for the sum of proba, etc.



Project: Giskard
Reporter: jmjm
Created: 2022-09-13
Repository: Giskard-AI/giskard-oss
Issue: When creating a feedback, make the feedback pop-up draggable
GitHub labels: good first issue

yt

d:easy

[GSK-266](https://giskard.youtrack.cloud/issue/GSK-266)



When you create a new feedback the feedback pop-up will appear on the right.

This pop-up can hide the Explanation or the Result areas which can be important for users while giving their feedback.

Making it draggable improve user experience.



Project: Giskard
Reporter: thomasabou
Created: 2022-09-06
Repository: Giskard-AI/giskard-oss
Issue: The inspector tab in the feedback manager tool is not visible enough, make it more visible (color? button?)
GitHub labels: good first issue

yt

d:easy

[GSK-94](https://giskard.youtrack.cloud/issue/GSK-94)



![](image.png)



Project: Giskard
Reporter: jmjm
Created: 2022-05-06
Repository: Giskard-AI/giskard-oss
Issue: Create Terraform based infrastructure for AWS
GitHub labels: yt

saas

[SS-1](https://giskard.youtrack.cloud/issue/SS-1)



There needs to be: 
- VPC
- Security groups, ACLs
- EKS cluster
- ECR
- KMS for TLS certificates and secrets encryption in Github (optional in the beginning)
- Route 53 (to be decided if it's not Cloudflare)
- Autoscaling (not crucial in the beginning)
- Load balancer



Project: SaaS
Reporter: aavtomonov
Created: 2022-01-19
Repository: Giskard-AI/giskard-oss
Issue: Investigate on automated documentation for AI test
GitHub labels: yt

p:critical

[GSK-228](https://giskard.youtrack.cloud/issue/GSK-228)



Create automated documentation based on the function doctring in the AI tests.



Need to explore :

* pdoc
* Sphinx
* mkdocs

TODO:
- [ ] investigate if Sphinx allows markdown docs to be integrateable with GitBook



Project: Giskard
Reporter: princy
Created: 2022-07-29
Repository: Giskard-AI/giskard-oss
Issue: AI Test test sample refresh problem when no dataset contains a target
Root cause: Validation Gap

[GSK-260](https://giskard.youtrack.cloud/issue/GSK-260)



when target variable is not present, "make grey" (disable) performance tests when user is creating non automatic tests: this is not the case here: http://gsk1.giskard.ai:10000/main/projects/1540/test-suites/1943/test/1944





Project: Giskard
Reporter: aavtomonov
Created: 2022-08-29
Repository: Giskard-AI/giskard-oss
Issue: Tests: make technical details openable
GitHub labels: yt

yt_client:citibeats

[GSK-259](https://giskard.youtrack.cloud/issue/GSK-259)



TODO: validate the idea with the design partners:
- Arnaud from Citibeats



Project: Giskard
Reporter: aavtomonov
Created: 2022-08-29
Repository: Giskard-AI/giskard-oss
Issue: remove Dataset.columnTypes deprecated property
GitHub labels: good first issue

yt

d:easy

[GSK-258](https://giskard.youtrack.cloud/issue/GSK-258)



https://github.com/Giskard-AI/giskard/blob/24d69aca2a4f8a58629150818490bd26aa0adab5/giskard-server/src/main/java/ai/giskard/domain/ml/Dataset.java#L61



Project: Giskard
Reporter: aavtomonov
Created: 2022-08-29

Hey,
Can I work on this? 

Hi @dipankr , this issue is deprecated now, we're releasing a new major version this summer, where the mode/dataset handling has been vastly improved.
Thanks for offering help

> Hi @dipankr , this issue is deprecated now, we're releasing a new major version this summer, where the mode/dataset handling has been vastly improved.
> Thanks for offering help

That's great, thank you for the update. 👍
Repository: Giskard-AI/giskard-oss
Issue: Improve explain performance by not sending the whole dataframe each time
Root cause: Architectural Constraint

[GSK-252](https://giskard.youtrack.cloud/issue/GSK-252)



currently we send thewhole dataframe for each explain call
We should cache it on the ML Worker side or (what's better) cache a fitted `kernel_shap`



Project: Giskard
Reporter: aavtomonov
Created: 2022-08-25
Repository: Giskard-AI/giskard-oss
Issue: Newly uploaded dataset not available during inspect unless we refresh the page
Root cause: Resource Mishandling

[GSK-251](https://giskard.youtrack.cloud/issue/GSK-251)



To recreate the scenario:

1. Load demonotebook on colab (<https://github.com/Giskard-AI/giskard/blob/main/giskard-demo-notebook/notebook/Email%20Classification%20Model.ipynb>)
2. Change the name of the dataset to not confuse with existing  datasets 
3. after the dataset is uploaded, go to models\>Inspect
4. You will not be able to see your newly uploaded dataset "20NEW" on the MODELS\>inspect page even if it is available in the "DATASETS" page unless you refresh the page . PS : RELOAD Button on the right corner doesn't help either 

   ![](image.png){width=70%}






Project: Giskard
Reporter: princy
Created: 2022-08-25
Repository: Giskard-AI/giskard-oss
Issue: Support series as input in upload_mode or upload_model_and_df
Root cause: Unimplemented Feature Gap

[GSK-246](https://giskard.youtrack.cloud/issue/GSK-246)



Users in NLP have generally one single text feature. Today we ask them to put their series inside a dataframe to upload in Giskard.

Before writing the error message, when we upload a series in Giskard, 

* shap was not working
* output probability was always the same value



Project: Giskard
Reporter: jmjm
Created: 2022-08-11
Repository: Giskard-AI/giskard-oss
Issue: Front end update to display failing output rows
Root cause: Unimplemented Feature Gap

[GSK-220](https://giskard.youtrack.cloud/issue/GSK-220)



Front end has to display the the dataset which contains the rows that failed the tests . This Card is related to GSK 106 where the output_df is sent in the output which has to be display in the front end . 



Project: Giskard
Reporter: princy
Created: 2022-07-28
Repository: Giskard-AI/giskard-oss
Issue: Text generation for model
GitHub labels: yt

needs specs

yt_client:crossdata

[GSK-217](https://giskard.youtrack.cloud/issue/GSK-217)



To JM :

* Create user story
* Create a model generation to upload



Project: Giskard
Reporter: jmjm
Created: 2022-07-26
Repository: Giskard-AI/giskard-oss
Issue: Add a "demo project" property to mixpanel events originated from demo projects
GitHub labels: yt

[GSK-242](https://giskard.youtrack.cloud/issue/GSK-242)



- It would be really great if we know all the event linked to our demo project. For example, can we give a “demo project” attribute to all events in a demo project?





Project: Giskard
Reporter: aavtomonov
Created: 2022-08-08
Repository: Giskard-AI/giskard-oss
Issue: Improve Shapely explanation generation
Root cause: Unimplemented Feature Gap

[GSK-229](https://giskard.youtrack.cloud/issue/GSK-229)



# Fitting

Today we fit Shap kernel on 1 sample to improve performance at a cost of precision. To le a user have a balanced solution we could parameterize it, for example by default we take the first 1000 rows of a dataframe and fit on it (to reduce the time in case of really large datasets). But in Giskard settings an admin can chose to set it to
• n first rows
• n % of dataset
• full dataset

> it turns out that fitting a Shap kernel doesn't take much time even for large datasets, but applying it does take a long time

# Shap values validity
Shap results depend a lot on a number of samples the kernel was fitted on. Sometimes when fitting was done on 1 sample there are empty Shap results



Project: Giskard
Reporter: aavtomonov
Created: 2022-07-29
Repository: Giskard-AI/giskard-oss
Issue: Share specific example link from Inspector
GitHub labels: yt

[GSK-231](https://giskard.youtrack.cloud/issue/GSK-231)



Sometimes it's handy to send a direct link to a specific sample in AI Inspect to another person



Project: Giskard
Reporter: aavtomonov
Created: 2022-08-01
Repository: Giskard-AI/giskard-oss
Issue: Rename test name in automatic testing
GitHub labels: yt

p:critical

[GSK-140](https://giskard.youtrack.cloud/issue/GSK-140)



For example : Put the variable name in the test name so that we can differentiate two tests



Project: Giskard
Reporter: jmjm
Created: 2022-06-10
Repository: Giskard-AI/giskard-oss
Issue: Small issue with AI inspect data loading
Root cause: Validation Gap

[GSK-203](https://giskard.youtrack.cloud/issue/GSK-203)



I only have this info... We may need more info from the user

![](Screenshot 2022-07-19 at 12.05.34-1.png)



Project: Giskard
Reporter: alex
Created: 2022-07-20
Repository: Giskard-AI/giskard-oss
Issue: Develop tagging system
GitHub labels: yt

p:major

yt_client:sysdig

[GSK-208](https://giskard.youtrack.cloud/issue/GSK-208)



add possibility to tag objects like:

* datasets
* models
* tests
* test suites



Project: Giskard
Reporter: aavtomonov
Created: 2022-07-22
Repository: Giskard-AI/giskard-oss
Issue: Bug with Kolmogorov Smirnov test
Root cause: Validation Gap

[GSK-200](https://giskard.youtrack.cloud/issue/GSK-200)





![](Screenshot 2022-07-19 at 12.37.25-1.png)



Project: Giskard
Reporter: alex
Created: 2022-07-20