label-studio-ml-backend | Label Studio 's Machine Learning backend | Data Labeling library
kandi X-RAY | label-studio-ml-backend Summary
kandi X-RAY | label-studio-ml-backend Summary
The Label Studio ML backend is an SDK that lets you wrap your machine learning code and turn it into a web server. You can then connect that server to a Label Studio instance to perform 2 tasks:. If you just need to load static pre-annotated data into Label Studio, running an ML backend might be overkill for you. Instead, you can import preannotated data.
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Top functions reviewed by kandi - BETA
- Fit a pre - trained model
- Dump the corpus to a file
- Get padding function
- Returns a dictionary of the parameters
- Fit the model to the given completions
- Reset the pretrained model
- Prepare data for training
- Pads a sequence of sequences to maxlen
- Predict a single task
- Deploy to GCP
- Decorator to handle exceptions
- Runs the ASR
- Run a single job
- Create a prediction example for the given tasks
- Fit the model with the given completions
- Predict from the given tasks
- Create model directory
- Predict results
- Predict the prediction
- Predict a list of tasks
- Create a flair model for the given completions
- Train the model
- Predict given tasks
- Run inference on the given image
- Get command line arguments
- Run prediction on the given tasks
label-studio-ml-backend Key Features
label-studio-ml-backend Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.
What I've done so far is make this representation with the same enumerator class.
A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?
...ANSWER
Answered 2021-Dec-30 at 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.
In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space
i have this:
...ANSWER
Answered 2020-Nov-16 at 07:24Try something like:
QUESTION
Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.
Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.
Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.
...ANSWER
Answered 2020-Oct-27 at 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install label-studio-ml-backend
Clone the repo git clone https://github.com/heartexlabs/label-studio-ml-backend
Setup environment It is highly recommended to use venv, virtualenv or conda python environments. You can use the same environment as Label Studio does. Read more about creating virtual environments via venv. cd label-studio-ml-backend # Install label-studio-ml and its dependencies pip install -U -e . # Install example dependencies pip install -r label_studio_ml/examples/requirements.txt
Initialize an ML backend based on an example script: label-studio-ml init my_ml_backend --script label_studio_ml/examples/simple_text_classifier/simple_text_classifier.py This ML backend is an example provided by Label Studio. See how to create your own ML backend.
Start ML backend server label-studio-ml start my_ml_backend
Start Label Studio and connect it to the running ML backend on the project settings page.
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