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v2.0.0b4
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README.md

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### Installation
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```sh
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pip install 'giskard[server]==2.0.0b3'
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pip install 'giskard[server]==2.0.0b4'
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giskard server start
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```

gradle.properties

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giskardVersion=2.0.0b3
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giskardVersion=2.0.0b4
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rootProject.name=giskard
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profile=dev

python-client/README.md

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### Installation
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```sh
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pip install "giskard[server]==2.0.0b3"
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pip install "giskard[server]==2.0.0b4"
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giskard server start
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```

python-client/docs/reference/notebooks/medical_transcript_classification_sklearn.ipynb

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},
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"outputs": [],
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"source": [
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"!pip install \"giskard==2.0.0b3\""
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"!pip install \"giskard==2.0.0b4\""
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]
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},
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{

python-client/docs/reference/notebooks/tripadvisor_sentiment_classification.ipynb

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"\n",
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"# To start the Giskard server, run in your terminal within the Python\n",
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"# environment containing the dependencies of your model: \n",
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"giskard server start --version 2.0.0b3\n",
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"giskard server start --version 2.0.0b4\n",
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"giskard worker start -u http://localhost:19000/\n",
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"\n",
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"# Then upload your test suite to the opened Giskard server\n",
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"\n",
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"If you are using Google Colab and you want to install the Giskard server **locally**, you can run the Giskard server by executing this line in the terminal of your **local** machine (see the [documentation](https://docs.giskard.ai/en/latest/guides/installation_app/index.html)):\n",
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"\n",
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"> giskard server start\n",
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"> giskard server start --version 2.0.0b4\n",
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"\n",
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"Once the Giskard server is running, from the same terminal on your **local** machine, you can run:\n",
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"\n",

python-client/pyproject.toml

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name = "giskard"
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readme = "README.md"
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license = { text = "Apache Software License 2.0" }
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version = "2.0.0b3"
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version = "2.0.0b4"
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description = "The testing framework dedicated to ML models, from tabular to LLMs"
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authors = [
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{ name = "Giskard AI", email = "[email protected]" },

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