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Release DRUM v1.5.13 (#427)
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* [RAPTOR-6387] update DRUM readme
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yakov-g authored Sep 20, 2021
1 parent 123ddb6 commit 7e8298d
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4 changes: 4 additions & 0 deletions custom_model_runner/CHANGELOG.md
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Expand Up @@ -9,6 +9,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
##### Fixed
##### Added

#### [1.5.13] - 2021-09-17
####
- compile DRUM with Java 11

#### [1.5.12] - 2021-09-15
##### Fixed
- R custom tasks sampling
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3 changes: 1 addition & 2 deletions custom_model_runner/README.md
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Expand Up @@ -28,8 +28,7 @@ All models:
- If you are using a drop-in environment found in this repo, you must pip install these dependencies.

Python models:
- Python 3.6 or 3.7 is required unless you are using DRUM with a Docker image.
- This is because DRUM only runs with Python 3.6 or 3.7.
- Check https://pypi.org/project/datarobot-drum/ for supported Python versions.

Java models:
- JRE >= 11.
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2 changes: 1 addition & 1 deletion custom_model_runner/datarobot_drum/drum/description.py
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@@ -1,3 +1,3 @@
version = "1.5.12"
version = "1.5.13"
__version__ = version
project_name = "datarobot-drum"
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@@ -1,3 +1,3 @@
pandas==1.0.5
pyarrow==0.14.1
datarobot-drum==1.5.12
datarobot-drum==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/java_codegen/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] Java Drop-In (DR Codegen, H2O)",
"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.",
"programmingLanguage": "java",
"environmentVersionId": "614235a4eef323a0d7af0c4d",
"environmentVersionId": "61451f149f56415553ced151",
"isPublic": true
}
2 changes: 1 addition & 1 deletion public_dropin_environments/julia_mlj/dr_requirements.txt
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pandas==1.0.5
pyarrow==0.14.1
datarobot-drum==1.5.12
datarobot-drum==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/julia_mlj/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] Julia Drop-In",
"description": "This template environment can be used to create artifact-only Julia MLJ custom models. This environment contains Julia and a number of models accessilbe via MLJ interfaces and only requires your model artifact as a .jlso file and optionally a custom.jl file.",
"programmingLanguage": "julia",
"environmentVersionId": "614235a4eef323a0d7af0c50",
"environmentVersionId": "61451f149f56415553ced154",
"isPublic": true
}
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@@ -1,2 +1,2 @@
pyarrow==0.14.1
datarobot-drum==1.5.12
datarobot-drum==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/python3_keras/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] Python 3 Keras Drop-In",
"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.",
"programmingLanguage": "python",
"environmentVersionId": "614235a4eef323a0d7af0c52",
"environmentVersionId": "61451f149f56415553ced152",
"isPublic": true
}
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@@ -1,2 +1,2 @@
pyarrow==0.14.1
datarobot-drum==1.5.12
datarobot-drum==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/python3_pmml/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] Python 3 PMML Drop-In",
"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.",
"programmingLanguage": "python",
"environmentVersionId": "614235a4eef323a0d7af0c51",
"environmentVersionId": "61451f149f56415553ced153",
"isPublic": true
}
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@@ -1,2 +1,2 @@
pyarrow==0.14.1
datarobot-drum==1.5.12
datarobot-drum==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/python3_pytorch/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] Python 3 PyTorch Drop-In",
"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.",
"programmingLanguage": "python",
"environmentVersionId": "614235a4eef323a0d7af0c4f",
"environmentVersionId": "61451f149f56415553ced14e",
"isPublic": true
}
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@@ -1,2 +1,2 @@
pyarrow==0.14.1
datarobot-drum==1.5.12
datarobot-drum==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/python3_sklearn/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] Python 3 Scikit-Learn Drop-In",
"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.",
"programmingLanguage": "python",
"environmentVersionId": "614235a4eef323a0d7af0c53",
"environmentVersionId": "61451f149f56415553ced14f",
"isPublic": true
}
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@@ -1,2 +1,2 @@
pyarrow==0.14.1
datarobot-drum==1.5.12
datarobot-drum==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/python3_xgboost/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] Python 3 XGBoost Drop-In",
"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.",
"programmingLanguage": "python",
"environmentVersionId": "614235a4eef323a0d7af0c4c",
"environmentVersionId": "61451f149f56415553ced150",
"isPublic": true
}
2 changes: 1 addition & 1 deletion public_dropin_environments/r_lang/dr_requirements.txt
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Expand Up @@ -2,4 +2,4 @@ numpy==1.19.5
pandas==1.0.5
rpy2<=3.3.6
pyarrow==0.14.1
datarobot-drum[R]==1.5.12
datarobot-drum[R]==1.5.13
2 changes: 1 addition & 1 deletion public_dropin_environments/r_lang/env_info.json
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Expand Up @@ -3,6 +3,6 @@
"name": "[DataRobot] R Drop-In",
"description": "This template environment can be used to create artifact-only R custom models that use the caret library. Your custom model archive need only contain your model artifacts if you use the environment correctly.",
"programmingLanguage": "r",
"environmentVersionId": "614235a4eef323a0d7af0c4e",
"environmentVersionId": "61451f149f56415553ced14d",
"isPublic": true
}

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