metrics | Machine learning metrics for distributed , scalable PyTorch | Analytics library

by PyTorchLightning Python Version: v0.8.0 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | metrics Summary

metrics is a Python library typically used in Analytics, Deep Learning, Pytorch applications. metrics has no bugs, it has build file available, it has a Permissive License and it has medium support. However metrics has 1 vulnerabilities. You can install using 'pip install metrics' or download it from GitHub, PyPI.

TorchMetrics is a collection of 50+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:.

Support

Quality

Security

License

Reuse

Support

metrics has a medium active ecosystem.

It has 824 star(s) with 177 fork(s). There are 25 watchers for this library.

It had no major release in the last 12 months.

There are 45 open issues and 279 have been closed. On average issues are closed in 25 days. There are 20 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of metrics is v0.8.0

Quality

metrics has 0 bugs and 0 code smells.

Security

metrics has 1 vulnerability issues reported (0 critical, 0 high, 1 medium, 0 low).

metrics code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

metrics is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

metrics releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed metrics and discovered the below as its top functions. This is intended to give you an instant insight into metrics implemented functionality, and help decide if they suit your requirements.

Compute BERT score .
Compute accuracy .
Compute the score for the given preds .
Compute precision recall .
Compute similarity between preds .
Compute precision of preds .
Recursive recall .
Compute the objective function .
Performs classification classification .
Calculate the fbeta .

Get all kandi verified functions for this library.

metrics Key Features

No Key Features are available at this moment for metrics.

metrics Examples and Code Snippets

Collect metrics from a list of outputs .

python

Lines of Code : 85

License : Non-SPDX (Apache License 2.0)

Copy

def collect_per_output_metric_info(metrics,
                                   output_names,
                                   output_shapes,
                                   loss_fns,
                                   from_serialized=False,

Wrap metrics into a dict .

python

Lines of Code : 57

License : Non-SPDX (Apache License 2.0)

Copy

def _wrap_and_check_metrics(self, metrics):
    """Handle the saving of metrics.

    Metrics is either a tuple of (value, update_op), or a dict of such tuples.
    Here, we separate out the tuples and create a dict with names to tensors.

    Args:

Wrap metrics into a dict .

python

Lines of Code : 57

License : Non-SPDX (Apache License 2.0)

Copy

def _wrap_and_check_metrics(self, metrics):
    """Handle the saving of metrics.

    Metrics is either a tuple of (value, update_op), or a dict of such tuples.
    Here, we separate out the tuples and create a dict with names to tensors.

    Args:

Community Discussions

Trending Discussions on metrics

Microk8s dashboard using nginx-ingress via http not working (Error: `no matches for kind "Ingress" in version "extensions/v1beta1"`)

How to prevent Keras from computing metrics during training

Keras AttributeError: 'Sequential' object has no attribute 'predict_classes'

cannot import name '_registerMatType' from 'cv2.cv2'

How to measure energy usage in Xcode 13 / iOS15?

When recognizing hand gesture classes, I always get the same class in Keras

Spring Boot WebClient stops sending requests

Add Kubernetes scrape target to Prometheus instance that is NOT in Kubernetes

Saving model on Tensorflow 2.7.0 with data augmentation layer

get cloudfront usage report via aws cli

QUESTION

Microk8s dashboard using nginx-ingress via http not working (Error: `no matches for kind "Ingress" in version "extensions/v1beta1"`)

Asked 2022-Apr-01 at 07:26

I have microk8s v1.22.2 running on Ubuntu 20.04.3 LTS.

Output from /etc/hosts:

...

ANSWER

Answered 2021-Oct-10 at 18:29

error: unable to recognize "ingress.yaml": no matches for kind "Ingress" in version "extensions/v1beta1"

Source https://stackoverflow.com/questions/69517855

QUESTION

How to prevent Keras from computing metrics during training

Asked 2022-Mar-23 at 09:20

I'm using Tensorflow/Keras 2.4.1 and I have a (unsupervised) custom metric that takes several of my model inputs as parameters such as:

...

ANSWER

Answered 2022-Mar-16 at 13:52

I was able to use learning_phase but only in symbolic tensor mode (graph) mode:

So, at first we need to disable eager mode (this must be done right after importing tensorflow):

Source https://stackoverflow.com/questions/71412499

QUESTION

Keras AttributeError: 'Sequential' object has no attribute 'predict_classes'

Asked 2022-Mar-23 at 04:30

Im attempting to find model performance metrics (F1 score, accuracy, recall) following this guide https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/

This exact code was working a few months ago but now returning all sorts of errors, very confusing since i havent changed one character of this code. Maybe a package update has changed things?

I fit the sequential model with model.fit, then used model.evaluate to find test accuracy. Now i am attempting to use model.predict_classes to make class predictions (model is a multi-class classifier). Code shown below:

...

ANSWER

Answered 2021-Aug-19 at 03:49

This function were removed in TensorFlow version 2.6. According to the keras in rstudio reference

update to

Source https://stackoverflow.com/questions/68836551

QUESTION

cannot import name '_registerMatType' from 'cv2.cv2'

Asked 2022-Mar-17 at 14:47

I got below error message when I run model_main_tf2.py on Object Detection API:

...

ANSWER

Answered 2021-Dec-31 at 03:38

The same thing occurred to me yesterday when I used Colab. A possible reason may be that the version of opencv-python(4.1.2.30) does not match opencv-python-headless(4.5.5.62). Or the latest version 4.5.5 may have something wrong...

I uninstalled opencv-python-headless==4.5.5.62 and installed 4.1.2.30 and it fixed.

Source https://stackoverflow.com/questions/70537488

QUESTION

How to measure energy usage in Xcode 13 / iOS15?

Asked 2022-Feb-23 at 00:43

I'd like to confirm the battery usage of an app I am developing on iOS, specifically on Xcode 13 and iOS 15. (Note: This app previously showed no issues with battery usage on previous versions of iOS.)

Previously, it seems that there were two ways to gather energy usage information:

#1. On the device under Settings > Developer > Logging

As per Apple's documentation described in the section titled "Log Energy Usage Directly on an iOS Device".
However, on iOS15, I can't find any options for logging under Developer or anywhere under settings even when searching.

#2. Profiling via Instruments using the "Energy Log" template

As per the same documentation from Apple described in the section "Use the Energy Diagnostics Profiling Template".
While it is still available in Xcode 12, this template is missing in Xcode 13. Naturally, it's also not possible to profile an iOS15 device with Xcode 12.

Digging through the Xcode 13 release notes, I found the following:

Instruments no longer includes the Energy template; use metrics reporting in the Xcode Organizer instead. (74161279)

When I access the Organizer in Xcode (12 or 13), select an app and click "Energy" for all versions of the app, it shows the following:

Apple's documentation for "Analyzing the Performance of Your Shipping App" says:

"In some cases the pane shows “Insufficient usage data available,” because there may not be enough anonymized data reported by participating user devices. When this happens, try checking back in a few days."

Well over a year into production and having sufficient install numbers, I have a feeling that waiting a few days might not do much.

I would like to determine if this is a bug in my app or a bug in iOS15. How can energy usage data be gathered using Xcode 13 on iOS 15?

...

ANSWER

Answered 2022-Feb-23 at 00:43

After contacting Apple Developer Technical Support (DTS) regarding this issue, they provided me with the following guidance.

Regarding "insufficient usage data available" for energy logs accessible via the Xcode organizer:

DTS indicated that they do not publish the thresholds for active users and usage logs would be expected to be present if you have more that a few thousand active users consistently on each version of your app. If your app meets this criteria and still does not show energy logs, DTS recommended opening a bug report with them.

Regarding how to collect energy log data for your app:

DTS recommended using MetricKit to get daily metric payloads. Payloads are delivered to your app every 24 hours and it is then possible to consume them and send them off device.

The instantiation of this is vey basic and can be as simple as:

Source https://stackoverflow.com/questions/69354959

QUESTION

When recognizing hand gesture classes, I always get the same class in Keras

Asked 2022-Feb-22 at 13:49

When recognizing hand gesture classes, I always get the same class, although I tried changing the parameters and even passed the data without normalization:

...

ANSWER

Answered 2022-Feb-17 at 18:48

All rows need the same data size, of course some values can be empty in csv.

Source https://stackoverflow.com/questions/71163462

QUESTION

Spring Boot WebClient stops sending requests

Asked 2022-Feb-18 at 14:42

I am running a Spring Boot app that uses WebClient for both non-blocking and blocking HTTP requests. After the app has run for some time, all outgoing HTTP requests seem to get stuck.

WebClient is used to send requests to multiple hosts, but as an example, here is how it is initialized and used to send requests to Telegram:

WebClientConfig:

...

ANSWER

Answered 2021-Dec-20 at 14:25

I would propose to take a look in the RateLimiter direction. Maybe it does not work as expected, depending on the number of requests your application does over time. From the Javadoc for Ratelimiter: "It is important to note that the number of permits requested never affects the throttling of the request itself ... but it affects the throttling of the next request. I.e., if an expensive task arrives at an idle RateLimiter, it will be granted immediately, but it is the next request that will experience extra throttling, thus paying for the cost of the expensive task." Also helpful might be this discussion: github or github

I could imaginge there is some throttling adding up or other effect in the RateLimiter, i would try to play around with it and make sure this thing really works the way you want. Alternatively, consider using Spring @Scheduled to read from your queue. You might want to spice it up using embedded JMS for further goodies (message persistence etc).

Source https://stackoverflow.com/questions/70357582

QUESTION

Add Kubernetes scrape target to Prometheus instance that is NOT in Kubernetes

Asked 2022-Feb-13 at 20:24

I run prometheus locally as http://localhost:9090/targets with

...

ANSWER

Answered 2021-Dec-28 at 08:33

There are many agents capable of saving metrics collected in k8s to remote Prometheus server outside the cluster, example Prometheus itself now support agent mode, exporter from Opentelemetry, or using managed Prometheus etc.

Source https://stackoverflow.com/questions/70457308

QUESTION

Saving model on Tensorflow 2.7.0 with data augmentation layer

Asked 2022-Feb-04 at 17:25

I am getting an error when trying to save a model with data augmentation layers with Tensorflow version 2.7.0.

Here is the code of data augmentation:

...

ANSWER

Answered 2022-Feb-04 at 17:25

This seems to be a bug in Tensorflow 2.7 when using model.save combined with the parameter save_format="tf", which is set by default. The layers RandomFlip, RandomRotation, RandomZoom, and RandomContrast are causing the problems, since they are not serializable. Interestingly, the Rescaling layer can be saved without any problems. A workaround would be to simply save your model with the older Keras H5 format model.save("test", save_format='h5'):

Source https://stackoverflow.com/questions/69955838

QUESTION

get cloudfront usage report via aws cli

Asked 2022-Feb-04 at 12:49

I have a bunch of Cloudfront distributions scattered across a number of AWS accounts. I'd like to get the Usage Reports for all Cloudfront distros across all AWS accounts.

Now, I have the change-account bit already automated, but I'm not sure how to get the CSV report via the AWS CLI.

I know I can do some ClickOps and download the report via the Cloudfront Console, like here:

but I can't find the command to get the report with the AWS CLI.

I know I can get the Cloudfront metrics via the Cloudwatch API but the documentation doesn't mention the API endpoint I should be querying.

Also, there's aws cloudwatch get-metric-statistics, but I'm not sure how to use that to download the Cloudfront Usage CSV Report.

Question: How can I get the Cloudfront Usage Report for all distributions in an AWS account using the AWS CLI?

...

ANSWER

Answered 2022-Jan-31 at 10:07

You'll need to use Cost-Explorer API for that.

Source https://stackoverflow.com/questions/70868206

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install metrics

Simple installation from PyPI.

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