trainer | Convert xcodebuild plist and xcresult files to JUnit reports | iOS library

 by   fastlane-community Ruby Version: 0.9.1 License: MIT

kandi X-RAY | trainer Summary

kandi X-RAY | trainer Summary

trainer is a Ruby library typically used in Mobile, iOS, Xcode applications. trainer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is an alternative approach to generate JUnit files for your CI (e.g. Jenkins) without parsing the xcodebuild output, but using the Xcode plist or xcresult files instead. Some Xcode versions has a known issue around not properly closing stdout (Radar), so you can't use xcpretty. trainer is a more robust and faster approach to generate JUnit reports for your CI system. By using trainer, the Twitter iOS code base now generates JUnit reports 10 times faster. xcpretty is a great piece of software that is used across all fastlane tools. trainer was built to have the minimum code to generate JUnit reports for your CI system. More information about the why trainer is useful can be found on my blog.
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            kandi-support Support

              trainer has a low active ecosystem.
              It has 247 star(s) with 47 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 7 have been closed. On average issues are closed in 36 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of trainer is 0.9.1

            kandi-Quality Quality

              trainer has 0 bugs and 0 code smells.

            kandi-Security Security

              trainer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              trainer code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              trainer is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              trainer releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              trainer saves you 357 person hours of effort in developing the same functionality from scratch.
              It has 852 lines of code, 49 functions and 16 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed trainer and discovered the below as its top functions. This is intended to give you an instant insight into trainer implemented functionality, and help decide if they suit your requirements.
            • Run program .
            • Generate the JUnit file
            Get all kandi verified functions for this library.

            trainer Key Features

            No Key Features are available at this moment for trainer.

            trainer Examples and Code Snippets

            Initialize the TextFileId table .
            pythondot img1Lines of Code : 48dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self,
                           filename,
                           key_column_index=TextFileIndex.WHOLE_LINE,
                           value_column_index=TextFileIndex.LINE_NUMBER,
                           vocab_size=None,
                           delimiter="\t",
                           name="tex  
            Initialize the TextFileTableInitializer .
            pythondot img2Lines of Code : 46dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self,
                           filename,
                           key_column_index=TextFileIndex.LINE_NUMBER,
                           value_column_index=TextFileIndex.WHOLE_LINE,
                           vocab_size=None,
                           delimiter="\t",
                           name="tex  
            Trainer only command .
            javadot img3Lines of Code : 4dot img3License : Permissive (MIT License)
            copy iconCopy
            @Command(name = "add")
                public void addCommand() {
                    System.out.println("Adding some files to the staging area");
                }  

            Community Discussions

            QUESTION

            What is the loss function used in Trainer from the Transformers library of Hugging Face?
            Asked 2022-Mar-23 at 10:12

            What is the loss function used in Trainer from the Transformers library of Hugging Face?

            I am trying to fine tine a BERT model using the Trainer class from the Transformers library of Hugging Face.

            In their documentation, they mention that one can specify a customized loss function by overriding the compute_loss method in the class. However, if I do not do the method override and use the Trainer to fine tine a BERT model directly for sentiment classification, what is the default loss function being use? Is it the categorical crossentropy? Thanks!

            ...

            ANSWER

            Answered 2022-Mar-23 at 10:12

            It depends! Especially given your relatively vague setup description, it is not clear what loss will be used. But to start from the beginning, let's first check how the default compute_loss() function in the Trainer class looks like.

            You can find the corresponding function here, if you want to have a look for yourself (current version at time of writing is 4.17). The actual loss that will be returned with default parameters is taken from the model's output values:

            loss = outputs["loss"] if isinstance(outputs, dict) else outputs[0]

            which means that the model itself is (by default) responsible for computing some sort of loss and returning it in outputs.

            Following this, we can then look into the actual model definitions for BERT (source: here, and in particular check out the model that will be used in your Sentiment Analysis task (I assume a BertForSequenceClassification model.

            The code relevant for defining a loss function looks like this:

            Source https://stackoverflow.com/questions/71581197

            QUESTION

            GPU's not showing up on GKE Node even though they show up in GKE NodePool
            Asked 2022-Mar-03 at 08:30

            I'm trying to setup a Google Kubernetes Engine cluster with GPU's in the nodes loosely following these instructions, because I'm programmatically deploying using the Python client.

            For some reason I can create a cluster with a NodePool that contains GPU's

            ...But, the nodes in the NodePool don't have access to those GPUs.

            I've already installed the NVIDIA DaemonSet with this yaml file: https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml

            You can see that it's there in this image:

            For some reason those 2 lines always seem to be in status "ContainerCreating" and "PodInitializing". They never flip green to status = "Running". How can I get the GPU's in the NodePool to become available in the node(s)?

            Update:

            Based on comments I ran the following commands on the 2 NVIDIA pods; kubectl describe pod POD_NAME --namespace kube-system.

            To do this I opened the UI KUBECTL command terminal on the node. Then I ran the following commands:

            gcloud container clusters get-credentials CLUSTER-NAME --zone ZONE --project PROJECT-NAME

            Then, I called kubectl describe pod nvidia-gpu-device-plugin-UID --namespace kube-system and got this output:

            ...

            ANSWER

            Answered 2022-Mar-03 at 08:30

            According the docker image that the container is trying to pull (gke-nvidia-installer:fixed), it looks like you're trying use Ubuntu daemonset instead of cos.

            You should run kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml

            This will apply the right daemonset for your cos node pool, as stated here.

            In addition, please verify your node pool has the https://www.googleapis.com/auth/devstorage.read_only scope which is needed to pull the image. You can should see it in your node pool page in GCP Console, under Security -> Access scopes (The relevant service is Storage).

            Source https://stackoverflow.com/questions/71272241

            QUESTION

            How to change AllenNLP BERT based Semantic Role Labeling to RoBERTa in AllenNLP
            Asked 2022-Feb-24 at 12:34

            Currently i'm able to train a Semantic Role Labeling model using the config file below. This config file is based on the one provided by AllenNLP and works for the default bert-base-uncased model and also GroNLP/bert-base-dutch-cased.

            ...

            ANSWER

            Answered 2022-Feb-24 at 02:14

            The easiest way to resolve this is to patch SrlReader so that it uses PretrainedTransformerTokenizer (from AllenNLP) or AutoTokenizer (from Huggingface) instead of BertTokenizer. SrlReader is an old class, and was written against an old version of the Huggingface tokenizer API, so it's not so easy to upgrade.

            If you want to submit a pull request in the AllenNLP project, I'd be happy to help you get it merged into AllenNLP!

            Source https://stackoverflow.com/questions/71223907

            QUESTION

            How to extract loss and accuracy from logger by each epoch in pytorch lightning?
            Asked 2021-Dec-04 at 00:07

            I want to extract all data to make the plot, not with tensorboard. My understanding is all log with loss and accuracy is stored in a defined directory since tensorboard draw the line graph.

            ...

            ANSWER

            Answered 2021-Sep-22 at 23:47

            Lightning do not store all logs by itself. All it does is streams them into the logger instance and the logger decides what to do.

            The best way to retrieve all logged metrics is by having a custom callback:

            Source https://stackoverflow.com/questions/69276961

            QUESTION

            How can I check a confusion_matrix after fine-tuning with custom datasets?
            Asked 2021-Nov-24 at 13:26

            This question is the same with How can I check a confusion_matrix after fine-tuning with custom datasets?, on Data Science Stack Exchange.

            Background

            I would like to check a confusion_matrix, including precision, recall, and f1-score like below after fine-tuning with custom datasets.

            Fine tuning process and the task are Sequence Classification with IMDb Reviews on the Fine-tuning with custom datasets tutorial on Hugging face.

            After finishing the fine-tune with Trainer, how can I check a confusion_matrix in this case?

            An image of confusion_matrix, including precision, recall, and f1-score original site: just for example output image

            ...

            ANSWER

            Answered 2021-Nov-24 at 13:26

            What you could do in this situation is to iterate on the validation set(or on the test set for that matter) and manually create a list of y_true and y_pred.

            Source https://stackoverflow.com/questions/68691450

            QUESTION

            How can I fill a column with values that are computed between two dates in pandas?
            Asked 2021-Nov-14 at 14:51

            I have this dataframe:

            Date Position TrainerID Win% 2017-09-03 4 1788 0 (0 wins, 1 race) 2017-09-16 5 1788 0 (0 wins, 2 races) 2017-10-14 1 1788 33 (1 win, 3 races)

            I want to compute on every row of the Win% Column the winning percentage, as above, for the races in the last 1000 days.

            I tried something like this:

            ...

            ANSWER

            Answered 2021-Nov-14 at 14:51

            Create a indicator column to represent the win, then group the indicator column by TrainerID and apply the rolling mean to calculate the winning percentage, finally merge the calculated percentage column with the original dataframe

            Source https://stackoverflow.com/questions/69963949

            QUESTION

            Tokenizers change vocabulary entry
            Asked 2021-Nov-02 at 10:48

            I have some text which I want to perform NLP on. To do so, I download a pre-trained tokenizer like so:

            ...

            ANSWER

            Answered 2021-Nov-02 at 02:16

            If you can find distilbert folder in your pc, you can see vocabulary is basically txt file that contains only one column. You can do whatever you want to do.

            Source https://stackoverflow.com/questions/69780823

            QUESTION

            How to use a language model for prediction after fine-tuning?
            Asked 2021-Sep-29 at 16:43

            I've trained/fine-tuned a Spanish RoBERTa model that has recently been pre-trained for a variety of NLP tasks except for text classification.

            Since the baseline model seems to be promising, I want to fine-tune it for a different task: text classification, more precisely, sentiment analysis of Spanish Tweets and use it to predict labels on scraped tweets I have.

            The preprocessing and the training seem to work correctly. However, I don't know how I can use this mode afterwards for prediction.

            I'll leave out the preprocessing part because I don't think there seems to be an issue.

            Code: ...

            ANSWER

            Answered 2021-Sep-29 at 10:11

            Although this is an example for a specific model (DistilBert), the following prediction code should work similarly (small modifications according to your needs). You just need to replace the distillbert according to your model (TFAutoModelForSequenceClassification) and of course ensure the proper tokenizer is used.

            Source https://stackoverflow.com/questions/69374271

            QUESTION

            Props is undefined when passed to a child component (react hooks)
            Asked 2021-Sep-26 at 08:45

            I am building a simple agenda component and ran into a problem. The idea is that when a person clicks on the day and then sees trainings from this specific day. My logic is the following

            1. On button click I set state to day id
            2. On existing active item Ternary operator renders the component
            3. I am passing function invocation as props, which returns up-to-date object.

            I tried putting function invocation to handleClick function, which did not help. For me it seems that the problem can occur with function not returning the value in time for component to pass it, but I don't know how to bypass this problem. Here is the codesandbox with everything - please help

            https://codesandbox.io/s/cranky-johnson-s2dj3?file=/src/scheduledTrainingCard.js

            Here is the code to parent component, as the problem is here

            ...

            ANSWER

            Answered 2021-Sep-26 at 08:11

            QUESTION

            How do I know what to write when i map a fetch call
            Asked 2021-Sep-23 at 04:01

            Having some trouble with this .map function saying that it's not a function.

            What it's supposed to do is get the data based on the URL and then insert it into a mapped component.

            Here is the component itself:

            ...

            ANSWER

            Answered 2021-Sep-23 at 04:01
            Issue

            The issue is that the initial state has nothing that is mappable

            Source https://stackoverflow.com/questions/69293862

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

            Vulnerabilities

            No vulnerabilities reported

            Install trainer

            Add this to your Gemfile. Alternatively you can install the gem system-wide using sudo gem install trainer.

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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