-
Updated
Feb 7, 2022 - Jupyter Notebook
mlops
Here are 678 public repositories matching this topic...
-
Updated
Mar 25, 2022
-
Updated
Mar 29, 2022
Description
We're running usability tests and would love for you to record walking through our tutorials. The idea for this ticket is that you do a screen capture walking through one of more of the following examples:
- Hello World! (15 minutes)
- [Iris Dataset](https://kedro.readthedocs.io/en/stable/02_get_started
-
Updated
Apr 1, 2022 - Jupyter Notebook
Describe the bug
data docs columns shrink to 1 character width with long query
To Reproduce
Steps to reproduce the behavior:
- make a batch from a long query string
- run validation
- render result to data docs
- See screenshot
<img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4
I am using metaflow locally but with the AWS service (e.g. the actual compute is happening locally rather than in AWS batch but the metadata is using AWS). When I access the run data through run.data I get new local directories with names like metaflow.s3.w3efey1k, which I presume is because metaflow pulls from S3 into that directory, and then un-pickles the result from there. Is there a way t
🚨 🚨 Feature Request
- A new implementation (Improvement, Extension)
Is your feature request related to a problem?
Currently, if a user tries to access an index that is larger than the dataset length or tensor length, an internal error is thrown which is not easy to understand.
Description of the possible solution
We can catch the error and throw a more descriptive e
-
Updated
Apr 1, 2022 - Python
-
Updated
Apr 1, 2022 - Python
-
Updated
Apr 1, 2022 - Python
Is your feature request related to a problem? Please describe.
Currently in feature_store.yaml, we can only specify a region for DynamoDB provider. As a result, it requires an actual DynamoDB to be available when we want to do local development/testing or integration testing in a sandbox environment.
Describe the solution you'd like
A way to solve this is to let user pass an endpoint
The documentation for creating complex inference graphs should include what components can be connected to what, and how the overall graph should behave.
For example, all inference graphs need to end with a single node, whether its a combiner combining multiple inputs, or a transformer, or a model--the graph can't split and then never rejoin, etc.
I have uploaded the metrics_visualization pipeline in the Kubeflow Console and when I invoke a run I am able to see the visualizations yet they are not seen in the run output
.
All system requirements should be listed on an integration level, just
-
Updated
Apr 1, 2022 - Python
-
Updated
Jan 12, 2022 - Kotlin
pstmt is useless, delete it. And delete statement in finally block.
Is your feature request related to a problem? Please describe.
Currently, when building the docs using the make docs command, many errors and warnings are being raised. This makes the deployment really difficult because we can't know for sure that the docs are not broken.
Describe the solution you'd like
The required solution would be that the build process of the docs will contain
Dataset Info Check
Currrently , the CLI outputs "No such file or directory" but should be more verbose and explain which file could not be found.
No such file or directory (os error 2)
-
Updated
Aug 23, 2021 - Python
-
Updated
Mar 31, 2022 - Python
Improve this page
Add a description, image, and links to the mlops topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the mlops topic, visit your repo's landing page and select "manage topics."


Describe the bug
I am trying to label Hebrew text (RTL language). When labels are attached to the text, the words of the text are mixed and not shown in their original order.
To Reproduce
Steps to reproduce the behavior: