mlops

Bug with GPU Model

Currently, while using pruning methods like TaylorFOWeight Pruner, If I use a model on GPU for getting the metrics (as calculated for getting masks), it fails on line while creating masks. The reason why it fails i

Describe the bug
When exporting a brush annotation as a PNG, the output is not mapped by the background colors specified in (Settings > Labeling Interface). In addition, when exporting as a JSON, the background colors for the attributes are not specified anywhere, leaving the values that were selected in the interface as arbitrary and as not linked to any of the outputs.

To Reproduce

Introduction

A high-level, short overview of the problem(s) you are designing a solution for.

We have the implementation, but it is not easy to point to a documented example:

Background

Provide the reader with the context surrounding the problem(s) you are trying

Is your feature request related to a problem? Please describe.
Most of operations of GE are executed from CLI, which is not friendly to non-programmer.

Describe the solution you'd like
A management system with all kinds of web UI to create expectation, query validation results etc.

We currently have read and write capabilities but do not support deleting. We could add a few calls like delete delete_all and some recursive way of deleting.

right now, we silently convert to "default"

from dagster import asset


@asset(group_name="")
def asset():
    ...

🚨🚨 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

Users might have multiple AWS accounts/credentials, stored in .aws/credentials. In the AWS command line or Terraform one can easily specify which one to use at any given time.

aws s3 ls --profile non-default-profile

Or in TF:

provider "aws" {
  profile  = "non-default-profile"
}

Feast today would always use the default profile. A potential workaround involves defini

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.

Use case

Polyaxon tracking can be used to automatically log all information generated by Ludwig.

We should probably think about adding support for Polyaxon's tracking module in Ludwig contrib.

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

![image](https://user-images.githubusercontent.com/59866888/153585857-cda2921e-48b9-4528-b568-e8866fffb993.

I've noticed that there is an error in the code:
https://github.com/pytorch/serve/blob/a4d5090e114cdbeddf5077a817a8cd02d129159e/ts/model_loader.py#L92

There is an attempt to read the MANIFEST.json file, and there is use of the / charecter which used as a seperator in the Linux os, and in Windows there is use of the back-slash \, so this line creates always an invalid path so the loader d

🚀 Feature

Add epoch to aim's pytorch_lightning adaptor, whenever it's available.

Pitch

Often the current epoch number is available as a metric from logs sent by pytorch_lightning. If we can extract this epoch to pass it to Aim's logger, then people can set x axis as epoch in Aim's metric explorer. This helps comparing logged values across different experiments with possib

raising this:

https://github.com/ploomber/ploomber/blob/2fe474987ae6fca088e02399dbff99672a17fc95/src/ploomber/exceptions.py#L83

will exit the DAG gracefully, but it's undocumented

Describe the bug

As it stands, users wishing to enable CloudWatch logs will need to go through the AWS Process to do so here and then manually modify the fluent-bit-config configmap to alter the generated log stream to match what Flyte expects.

kubectl edit cm -n amazo

Contact Details [Optional]

support@zenml.io

Describe the feature you'd like

When someone uses the zenml secret register --help command, the formatting of the CLI help information comes out wrong with line breaks not really happening. It isn't possible to read the text printed to the terminal as executed within [the register_secret function](https://github.com/zenml-io/zenml/blob/373

Crate:         tempdir
Version:       0.3.7
Warning:       unmaintained
Title:         `tempdir` crate has been deprecated; use `tempfile` instead
Date:          2018-02-13
ID:            RUSTSEC-2018-0017
URL:           https://rustsec.org/advisories/RUSTSEC-2018-0017
Dependency tree: 
tempdir 0.3.7
├── storage 0.2.0
│   └── qdrant 0.7.0
├── segment 0.3.1
│   ├── storage 0.2.0
│

Data integrity check
Similar to the tabular feature-label correlation check but with the image properties as features.
Useful for preventing shortcut learning.