Metrics | Machine learning evaluation metrics , implemented in Python | Architecture library
kandi X-RAY | Metrics Summary
kandi X-RAY | Metrics Summary
Average Precision at K (APK, AP@K). Area Under the ROC (AUC). Mean Log Loss (LogLoss). Mean Absolute Error (MAE). Mean Average Precision at K (MAPK, MAP@K). Mean Quadratic Weighted Kappa. Mean Squared Error (MSE). Mean Squared Log Error (MSLE). Relative Absolute Error (RAE). Root Mean Squared Error (RMSE). Relative Squared Error (RSE). Root Relative Squared Error (RRSE). Root Mean Squared Log Error (RMSLE). Squared Log Error (SLE).
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Top functions reviewed by kandi - BETA
- Calculate kappa similarity
- Computes the confusion matrix
- Compute the histogram of the given ratings
- Calculates the weighted mean - quadratic kappa
- Compute the quadratic kappa similarity
- Calculate the mean - quadratic kappa
- Root mean squared error
- Compute the squared error between actual and predicted and predicted
- Mean squared mean squared error
- Root - mean squared error
- Mean squared error
- Compute the squared log - likelihood
- Calculate the log loss between actual and predicted and predicted data
- Compute the logarithmic log - likelihood
- Compute the mean value of the predicted and predicted targets
- Compute the APK score
- Calculate the correlation coefficient
- Takes a list of values and returns a weighted rank
- Compute the KDD of the predicted and predicted samples
- Compute the APK distance between predictions
- C capped binomial deviance
- Compute the capped log10 likelihood
- Mean mean squared error
- Calculate the absolute error
- Calculate the kappa kappa similarity
Metrics Key Features
Metrics Examples and Code Snippets
Lines of Code : 0License : Strong Copyleft (GPL-3.0)
Copy================== SUMMARY METRICS ==================
| Metric | Value |
|-----------------------------+---------------------|
| Backtesting from | 2019-01-01 00:00:00 |
| Backtesting to | 20 def collect_per_output_metric_info(metrics,
output_names,
output_shapes,
loss_fns,
from_serialized=False,
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:
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
QUESTION
I have microk8s v1.22.2 running on Ubuntu 20.04.3 LTS.
Output from /etc/hosts:
ANSWER
Answered 2021-Oct-10 at 18:29error: unable to recognize "ingress.yaml": no matches for kind "Ingress" in version "extensions/v1beta1"
QUESTION
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 13:52I 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):
QUESTION
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 03:49This function were removed in TensorFlow version 2.6. According to the keras in rstudio reference
update to
QUESTION
I got below error message when I run model_main_tf2.py on Object Detection API:
ANSWER
Answered 2021-Dec-31 at 03:38The 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.
QUESTION
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 00:43After 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:
QUESTION
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 18:48All rows need the same data size, of course some values can be empty in csv.
QUESTION
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 14:25I 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).
QUESTION
I run prometheus locally as http://localhost:9090/targets with
...ANSWER
Answered 2021-Dec-28 at 08:33There 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.
QUESTION
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 17:25This 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'):
QUESTION
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 10:07You'll need to use Cost-Explorer API for that.
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Install Metrics
You can use Metrics like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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