New OML4Py Notebook demos and updates to OML4SQL Notebooks

machine-learning/notebooks/python/OML4Py_Dataset_Creation.json

@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n# OML4Py Demonstration Dataset Creation Script\n\n\nCopyright (c) 2020 Oracle Corporation                             \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:20:47+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/markdown","fontSize":9,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"tableHide":false,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<h1>OML4Py Demonstration Dataset Creation Script</h1>\n<p>Copyright (c) 2020 Oracle Corporation</p>\n<h6><a href=\"https://oss.oracle.com/licenses/upl/\">The Universal Permissive License (UPL), Version 1.0</a></h6>\n<hr />\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_-1858473173","id":"20200915-183826_1241328384","dateCreated":"2020-04-08T15:34:45+0000","dateStarted":"2020-09-15T22:20:48+0000","dateFinished":"2020-09-15T22:20:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"title":"Import libraries","text":"%python\n\nimport oml\n\nfrom sklearn import datasets\nimport pandas as pd","user":"OMLUSER","dateUpdated":"2020-09-15T22:20:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106074_-1049156815","id":"20200915-183826_1202103219","dateCreated":"2020-04-08T15:35:17+0000","dateStarted":"2020-09-15T22:20:50+0000","dateFinished":"2020-09-15T22:21:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Load breast cancer data and create table","text":"%python\n\nbc = datasets.load_breast_cancer()\nbc_data = bc.data.astype(float)\nX = pd.DataFrame(bc_data, columns = bc.feature_names)\ny = pd.DataFrame(bc.target, columns = ['TARGET'])\n\ntry:\n    oml.drop(table='BREASTCANCER')\nexcept:\n    pass\nBREASTCANCER = oml.create(pd.concat([X, y], axis=1), table = 'BREASTCANCER')\nprint(\"Shape:\",BREASTCANCER.shape)","user":"OMLUSER","dateUpdated":"2020-09-15T22:21:00+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Shape: (569, 31)\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_1419238850","id":"20200915-183826_1997402821","dateCreated":"2020-04-08T15:35:08+0000","dateStarted":"2020-09-15T22:21:00+0000","dateFinished":"2020-09-15T22:21:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Load IRIS dataset and create table","text":"%python\n\niris = datasets.load_iris()\nX = pd.DataFrame(iris.data, \n                 columns = [\"SEPAL_LENGTH\", \"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\"])\ny = pd.DataFrame(list(map(lambda x: {0:'setosa', 1: 'versicolor', 2:'virginica'}[x], iris.target)), \n                 columns = ['SPECIES'])\n\ntry:\n    oml.drop(table='IRIS')\nexcept:\n    pass\nIRIS = oml.create(pd.concat([X, y], axis=1), table = 'IRIS')\nprint(\"Shape:\",IRIS.shape)","user":"OMLUSER","dateUpdated":"2020-09-15T22:21:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Shape: (150, 5)\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_1948174597","id":"20200915-183826_252932885","dateCreated":"2020-04-08T15:54:16+0000","dateStarted":"2020-09-15T22:21:01+0000","dateFinished":"2020-09-15T22:21:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"text":"%md\n\n# End of Script\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:21:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<h1>End of Script</h1>\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_-168511407","id":"20200915-183826_798420188","dateCreated":"2020-04-08T15:55:47+0000","dateStarted":"2020-09-15T22:21:02+0000","dateFinished":"2020-09-15T22:21:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"}],"name":"OML4Py Dataset Creation","id":"467997","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}

machine-learning/python/README.md

@@ -5,6 +5,8 @@ OML4Py is going to be initially available inside Oracle Autonomous Database, but
 
 Outside of the Autonomous Database, OML4Py will be compatible Oracle Linux 7.x (or RHEL 7.x) and Python 3.x.
 
+Notebook OML4Py Demos are available under the machine-learning/notebooks/python
+
 The examples here would run on either environment.
 
 #### Copyright (c) 2020 Oracle Corporation and/or its affilitiates.