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[YOLO] Reconcile dependencies, updated IDs, tags (#1471)
Co-authored-by: svc-harness-git2 <[email protected]>
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‎public_dropin_environments/java_codegen/env_info.json‎

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"name": "[DataRobot] Java Drop-In (DR Codegen, H2O)",
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"description": "This template can be used as an environment for DataRobot generated scoring code or models that implement the either the IClassificationPredictor or IRegressionPredictor interface from the datarobot-prediction package and for H2O models exported as POJO or MOJO.",
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"programmingLanguage": "java",
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"environmentVersionId": "68271d84cbce0247227de598",
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"label": "",
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"environmentVersionId": "682f9944114ca0117f36acfa",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-java-codegen"
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"imageRepository": "env-java-codegen",
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"tags": [
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"v11.1.0-682f9944114ca0117f36acfa",
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"682f9944114ca0117f36acfa",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python311/env_info.json‎

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"name": "[DataRobot] Python 3.11 Drop-In",
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"description": "This template environment can be used to create Python based custom models. User is responsible to provide requirements.txt with the model, to install all the required dependencies.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de59b",
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"label": "",
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"environmentVersionId": "682f9953114ca011a612e518",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python"
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"imageRepository": "env-python",
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"tags": [
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"v11.1.0-682f9953114ca011a612e518",
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"682f9953114ca011a612e518",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python311_genai/env_info.json‎

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"name": "[DataRobot] Python 3.11 GenAI",
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"description": "This template environment can be used to create GenAI-powered custom models and includes common dependencies for workflows using OpenAI, Langchain, vector DBs, or transformers in PyTorch. Similar to other drop-in environments, you can either include a .pth artifact or any other code needed to deserialize your model, and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de5a0",
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"label": "",
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"environmentVersionId": "682f995c114ca011c2a50fce",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python-genai"
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"imageRepository": "env-python-genai",
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"tags": [
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"v11.1.0-682f995c114ca011c2a50fce",
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"682f995c114ca011c2a50fce",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python311_genai_agents/env_info.json‎

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"name": "[DataRobot] Python 3.11 GenAI Agents",
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"description": "This template environment can be used to create GenAI-powered agents using CrewAI, LangGraph, or Llama-Index. Similar to other drop-in environments, you can either include a .pth artifact or any other code needed to deserialize your model, and optionally a custom.py file. You can also use this environment in codespaces.",
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"programmingLanguage": "python",
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"environmentVersionId": "682c93429604e979f80dc8f6",
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"label": "",
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"environmentVersionId": "682f9981114ca0124326ec6c",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"notebook",
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"customModel"
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],
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"imageRepository": "env-python-genai-agents"
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"imageRepository": "env-python-genai-agents",
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"tags": [
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"v11.1.0-682f9981114ca0124326ec6c",
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"682f9981114ca0124326ec6c",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python3_keras/env_info.json‎

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"name": "[DataRobot] Python 3.11 Keras Drop-In",
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"description": "This template environment can be used to create artifact-only keras custom models. This environment contains keras backed by tensorflow and only requires your model artifact as a .h5 file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de59e",
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"label": "",
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"environmentVersionId": "682f99ad114ca012a708288b",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python-keras"
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"imageRepository": "env-python-keras",
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"tags": [
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"v11.1.0-682f99ad114ca012a708288b",
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"682f99ad114ca012a708288b",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python3_onnx/env_info.json‎

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"name": "[DataRobot] Python 3.11 ONNX Drop-In",
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"description": "This template environment can be used to create artifact-only ONNX custom models. This environment contains ONNX runtime and only requires your model artifact as an .onnx file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de596",
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"label": "",
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"environmentVersionId": "682f99bb114ca012c957472e",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python-onnx"
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"imageRepository": "env-python-onnx",
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"tags": [
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"v11.1.0-682f99bb114ca012c957472e",
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"682f99bb114ca012c957472e",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python3_pmml/env_info.json‎

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"name": "[DataRobot] Python 3.11 PMML Drop-In",
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"description": "This template environment can be used to create artifact-only PMML custom models. This environment contains PyPMML and only requires your model artifact as a .pmml file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de59d",
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"label": "",
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"environmentVersionId": "682f99c4114ca012e328b9dc",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python-pmml"
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"imageRepository": "env-python-pmml",
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"tags": [
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"v11.1.0-682f99c4114ca012e328b9dc",
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"682f99c4114ca012e328b9dc",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python3_pytorch/env_info.json‎

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"name": "[DataRobot] Python 3.11 PyTorch Drop-In",
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"description": "This template environment can be used to create artifact-only PyTorch custom models. This environment contains PyTorch and requires only your model artifact as a .pth file, any other code needed to deserialize your model, and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de59c",
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"label": "",
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"environmentVersionId": "682f99cc114ca012ff23c346",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python-pytorch"
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"imageRepository": "env-python-pytorch",
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"tags": [
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"v11.1.0-682f99cc114ca012ff23c346",
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"682f99cc114ca012ff23c346",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python3_sklearn/env_info.json‎

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"name": "[DataRobot] Python 3.11 Scikit-Learn Drop-In",
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"description": "This template environment can be used to create artifact-only scikit-learn custom models. This environment contains scikit-learn and only requires your model artifact as a .pkl file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de59f",
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"label": "",
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"environmentVersionId": "682f99da114ca0131843b65d",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python-sklearn"
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"imageRepository": "env-python-sklearn",
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"tags": [
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"v11.1.0-682f99da114ca0131843b65d",
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"682f99da114ca0131843b65d",
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"v11.1.0-latest"
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]
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}

‎public_dropin_environments/python3_xgboost/env_info.json‎

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"name": "[DataRobot] Python 3.11 XGBoost Drop-In",
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"description": "This template environment can be used to create artifact-only xgboost custom models. This environment contains xgboost and only requires your model artifact as a .pkl file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"environmentVersionId": "68271d84cbce0247227de597",
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"label": "",
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"environmentVersionId": "682f99e2114ca0133180afbf",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-python-xgboost"
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"imageRepository": "env-python-xgboost",
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"tags": [
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"v11.1.0-682f99e2114ca0133180afbf",
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"682f99e2114ca0133180afbf",
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"v11.1.0-latest"
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]
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}

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