trainer | Convert xcodebuild plist and xcresult files to JUnit reports | iOS library
kandi X-RAY | trainer Summary
kandi X-RAY | trainer Summary
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.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Run program .
- Generate the JUnit file
trainer Key Features
trainer Examples and Code Snippets
def __init__(self,
filename,
key_column_index=TextFileIndex.WHOLE_LINE,
value_column_index=TextFileIndex.LINE_NUMBER,
vocab_size=None,
delimiter="\t",
name="tex
def __init__(self,
filename,
key_column_index=TextFileIndex.LINE_NUMBER,
value_column_index=TextFileIndex.WHOLE_LINE,
vocab_size=None,
delimiter="\t",
name="tex
@Command(name = "add")
public void addCommand() {
System.out.println("Adding some files to the staging area");
}
Community Discussions
Trending Discussions on trainer
QUESTION
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 10:12It 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:
QUESTION
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 08:30According 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).
QUESTION
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 02:14The 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!
QUESTION
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 23:47Lightning 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:
QUESTION
This question is the same with How can I check a confusion_matrix after fine-tuning with custom datasets?, on Data Science Stack Exchange.
BackgroundI 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 13:26What 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
.
QUESTION
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 14:51Create 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
QUESTION
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 02:16If 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.
QUESTION
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 10:11Although 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.
QUESTION
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
- On button click I set state to day id
- On existing active item Ternary operator renders the component
- 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 08:11You can do this
QUESTION
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 04:01The issue is that the initial state has nothing that is mappable
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install trainer
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page