8000 updated examples to use current versions of functions · sassoftware/python-sasctl@5925131 · GitHub
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updated examples to use current versions of functions
1 parent 2a79d58 commit 5925131

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‎examples/pzmmCompleteModelExampleMLFlowSklearn.ipynb renamed to ‎examples/pzmm_complete_model_example_MLFlow_sklearn.ipynb

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@@ -229,8 +229,8 @@
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"outputs": [],
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"source": [
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"J = pzmm.JSONFiles()\n",
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"J.writeVarJSON(inputsDict, isInput=True, jPath=zipFolder)\n",
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"J.writeVarJSON(outputsDict, isInput=False, jPath=zipFolder)"
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"J.write_var_json(inputsDict, isInput=True, jPath=zipFolder)\n",
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"J.write_var_json(outputsDict, isInput=False, jPath=zipFolder)"
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]
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},
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{
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"outputs": [],
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"source": [
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"# Write model properties to a json file\n",
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"J.writeModelPropertiesJSON(modelName=modelPrefix,\n",
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"J.write_model_properties_json(modelName=modelPrefix,\n",
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" modelDesc='MLFlow Model ',\n",
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" targetVariable='BAD',\n",
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" modelType='Logistic Regression',\n",
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" modeler='sasdemo')\n",
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"\n",
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"# Write model metadata to a json file\n",
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"J.writeFileMetadataJSON(modelPrefix, jPath=zipFolder)"
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"J.write_file_metadata_json(modelPrefix, jPath=zipFolder)"
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]
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},
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{
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"outputs": [],
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"source": [
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"I = pzmm.ImportModel()\n",
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"I.pzmmImportModel(zipFolder, modelPrefix, 'MLFlowTest', inputsDict, None, '{}.predict({})', metrics=['tensor'], force=True)"
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"I.import_model(zipFolder, modelPrefix, 'MLFlowTest', inputsDict, None, '{}.predict({})', metrics=['tensor'], force=True)"
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]
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},
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{

‎examples/pzmm_tensorflow_keras_model_import.ipynb

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"name": "stdout",
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"output_type": "stream",
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"text": [
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"inputVar.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/inputVar.json\n",
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"outputVar.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/outputVar.json\n",
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"ModelProperties.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/ModelProperties.json\n",
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"fileMetadata.json was successfully written and saved to /Users/dalmoo/Documents/GitHub/python-sasctl/examples/data/hmeqModels/KerasModel/fileMetadata.json\n"
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"inputVar.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/inputVar.json\n",
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"outputVar.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/outputVar.json\n",
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"ModelProperties.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/ModelProperties.json\n",
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"fileMetadata.json was successfully written and saved to python-sasctl/examples/data/hmeqModels/KerasModel/fileMetadata.json\n"
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]
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}
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],

‎examples/register_pytorch_comp_vision.ipynb

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"name": "stdout",
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"output_type": "stream",
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"text": [
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"inputVar.json was successfully written and saved to /data/paugre/rapidApp2/Model/inputVar.json\n",
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"outputVar.json was successfully written and saved to /data/paugre/rapidApp2/Model/outputVar.json\n"
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"inputVar.json was successfully written and saved to Model/inputVar.json\n",
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"outputVar.json was successfully written and saved to Model/outputVar.json\n"
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]
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}
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],
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"source": [
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"# Input variables\n",
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"inputVar = pd.DataFrame({'image' : ['msg'*33333]})\n",
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"sasctl.pzmm.writeJSONFiles.JSONFiles().writeVarJSON(inputDF=inputVar,isInput=True)\n",
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"pzmm.JSONFiles.write_var_json(inputDF=inputVar,isInput=True)\n",
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"inputVarJSON = pd.read_json(\"inputVar.json\")\n",
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"\n",
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"# Output variables\n",
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"outputVar = pd.DataFrame({'food_label' : ['msg'*90], 'msg' : ['msg'*90]})\n",
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"sasctl.pzmm.writeJSONFiles.JSONFiles().writeVarJSON(inputDF=outputVar,isInput=False)\n",
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"pzmm.JSONFiles.write_var_json(inputDF=outputVar,isInput=False)\n",
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"outputVarJSON = pd.read_json(\"outputVar.json\")\n",
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"\n",
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"# Define Input Output Variables and types for SAS Model Manager\n",

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