Updates and bug fixes to OML Notebook demos for 2022

machine-learning/notebooks/python/OML4Py Dataset Creation.json

@@ -0,0 +1,268 @@
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+ {
+ "text": "%md\n# OML4Py Demonstration Dataset Creation\n\nThis script loads the sample datasets `BREASTCANCER` and `IRIS` provided with the SciKit-Learn Python package and imports into them into the Oracle Database by using the oml.create() function. \n\nCopyright (c) 2022 Oracle Corporation \n###### \u003ca href\u003d\"https://oss.oracle.com/licenses/upl/\" onclick\u003d\"return ! window.open(\u0027https://oss.oracle.com/licenses/upl/\u0027);\"\u003eThe Universal Permissive License (UPL), Version 1.0\u003c/a\u003e\n---",
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+ "dateUpdated": "2022-03-10T17:03:29+0000",
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+ "data": "\u003ch1\u003eOML4Py Demonstration Dataset Creation\u003c/h1\u003e\n\u003cp\u003eThis script loads the sample datasets \u003ccode\u003eBREASTCANCER\u003c/code\u003e and \u003ccode\u003eIRIS\u003c/code\u003e provided with the SciKit-Learn Python package and imports into them into the Oracle Database by using the oml.create() function.\u003c/p\u003e\n\u003cp\u003eCopyright (c) 2022 Oracle Corporation\u003c/p\u003e\n\u003ch6\u003e\u003ca href\u003d\"https: //oss.oracle.com/licenses/upl/\" onclick\u003d\"return ! window.open(\u0027https://oss.oracle.com/licenses/upl/\u0027);\"\u003eThe Universal Permissive License (UPL), Version 1.0\u003c/a\u003e\u003c/h6\u003e\n\u003chr /\u003e\n"
+ }
+ ]
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+ "id": "20220124-201426_1097221910",
+ "dateCreated": "2020-04-08T15:34:45+0000",
+ "dateStarted": "2022-03-10T17:03:30+0000",
+ "dateFinished": "2022-03-10T17:03:31+0000",
+ "status": "FINISHED"
+ },
+ {
+ "title": "Import libraries",
+ "text": "%python\n\nimport oml\n\nfrom sklearn import datasets\nimport pandas as pd",
+ "user": "OMLUSER",
+ "dateUpdated": "2022-03-10T17:03:31+0000",
+ "progress": 0,
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+ "id": "20220124-201426_18842112",
+ "dateCreated": "2020-04-08T15:35:17+0000",
+ "dateStarted": "2022-03-10T17:03:32+0000",
+ "dateFinished": "2022-03-10T17:03:42+0000",
+ "status": "FINISHED"
+ },
+ {
+ "title": "Load breast cancer data and create table",
+ "text": "%python\n\nbc \u003d datasets.load_breast_cancer()\nbc_data \u003d bc.data.astype(float)\nX \u003d pd.DataFrame(bc_data, columns \u003d bc.feature_names)\ny \u003d pd.DataFrame(bc.target, columns \u003d [\u0027TARGET\u0027])\n\ntry:\n oml.drop(table\u003d\u0027BREASTCANCER\u0027)\nexcept:\n pass\nBREASTCANCER \u003d oml.create(pd.concat([X, y], axis\u003d1), table \u003d \u0027BREASTCANCER\u0027)\nprint(\"Shape:\",BREASTCANCER.shape)",
+ "user": "OMLUSER",
+ "dateUpdated": "2022-03-10T17:03:42+0000",
+ "progress": 0,
+ "config": {
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+ "fontSize": 9.0,
+ "title": true,
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+ "enabled": true
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+ "results": {
+ "code": "SUCCESS",
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+ "data": "Shape: (569, 31)\n"
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+ "jobName": "paragraph_1643055266356_2114957612",
+ "id": "20220124-201426_714877158",
+ "dateCreated": "2020-04-08T15:35:08+0000",
+ "dateStarted": "2022-03-10T17:03:42+0000",
+ "dateFinished": "2022-03-10T17:03:43+0000",
+ "status": "FINISHED"
+ },
+ {
+ "title": "Load IRIS dataset and create table",
+ "text": "%python\n\niris \u003d datasets.load_iris()\nX \u003d pd.DataFrame(iris.data, \n columns \u003d [\"SEPAL_LENGTH\", \"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\"])\ny \u003d pd.DataFrame(list(map(lambda x: {0:\u0027setosa\u0027, 1: \u0027versicolor\u0027, 2:\u0027virginica\u0027}[x], iris.target)), \n columns \u003d [\u0027SPECIES\u0027])\n\ntry:\n oml.drop(table\u003d\u0027IRIS\u0027)\nexcept:\n pass\nIRIS \u003d oml.create(pd.concat([X, y], axis\u003d1), table \u003d \u0027IRIS\u0027)\nprint(\"Shape:\",IRIS.shape)",
+ "user": "OMLUSER",
+ "dateUpdated": "2022-03-10T17:03:43+0000",
+ "progress": 0,
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+ "title": true,
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+ "dateCreated": "2020-04-08T15:54:16+0000",
+ "dateStarted": "2022-03-10T17:03:44+0000",
+ "dateFinished": "2022-03-10T17:03:44+0000",
+ "status": "FINISHED"
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+ "text": "%md\n\n# End of Script\n",
+ "user": "OMLUSER",
+ "dateUpdated": "2022-03-10T17:03:44+0000",
+ "progress": 0,
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+ "dateCreated": "2020-04-08T15:55:47+0000",
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+ "dateFinished": "2022-03-10T17:03:44+0000",
+ "status": "FINISHED"
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+ {
+ "text": "%md\n",
+ "user": "OMLUSER",
+ "dateUpdated": "2022-03-10T17:03:45+0000",
+ "progress": 0,
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+ "dateCreated": "2020-06-10T20:22:15+0000",
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