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removed output and creds from nb #19

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Aug 23, 2019
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removed output and creds from nb #19

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7a147b2
removed output and creds from nb
Aug 23, 2019
48a5a39
Update WML DB2.ipynb
sanjeevghimire Aug 23, 2019
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31 changes: 7 additions & 24 deletions notebooks/WML DB2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,7 @@
"metadata": {},
"outputs": [],
"source": [
"!pip install --upgrade ibmos2spark\n",
"!pip install --upgrade watson-machine-learning-client\n",
"\n",
"import numpy as np\n",
Expand All @@ -47,26 +48,7 @@
"metadata": {},
"outputs": [],
"source": [
"\n",
"#PLEASE ENTER YOU OWN CREDENTIALS TO GET DATA FROM DATABASE. \n",
"#CLICK THE 'FILE AND DATA' BUTTON THE TOP RIGHT SIDE OF THE MENU BAR\n",
"\n",
"\n",
"#from ibmdbpy import IdaDataBase, IdaDataFrame\n",
"\n",
"# @hidden_cell\n",
"# This connection object is used to access your data and contains your credentials.\n",
"# You might want to remove those credentials before you share your notebook.\n",
"#idadb_fe06e3df5eef4ac0b1c246b40ed3db6e = IdaDataBase(dsn='DASHDB;Database=BLUDB;Hostname=dashdb-txn-sbox-yp-dal09-03.services.dal.bluemix.net;Port=50000;PROTOCOL=TCPIP;UID=pcl47325;PWD=mwhpp-qlc4wf54s4')\n",
"\n",
"#pd_df = IdaDataFrame(idadb_fe06e3df5eef4ac0b1c246b40ed3db6e, 'PCL47325.HOME_SALES').as_dataframe()\n",
"#pd_df.head()\n",
"\n",
"# You can close the database connection with the following code. Please keep the comment line with the @hidden_cell tag,\n",
"# because the close function displays parts of the credentials.\n",
"# @hidden_cell\n",
"# idadb_fe06e3df5eef4ac0b1c246b40ed3db6e.close()\n",
"# To learn more about the ibmdby package, please read the documentation: http://pythonhosted.org/ibmdbpy/\n"
"# Connect to datasource\n"
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not sure if you meant to delete the "PLEASE ENTER..." comment. Your readme probably has it covered.

]
},
{
Expand Down Expand Up @@ -523,11 +505,12 @@
"metadata": {},
"outputs": [],
"source": [
"# Replace the credentials that you got from Watson Machine Learning service\n",
"from watson_machine_learning_client import WatsonMachineLearningAPIClient\n",
"wml_credentials = {\n",
" \"apikey\": \"<API KEY>\",\n",
" \"instance_id\": '<INSTANCE ID>',\n",
" \"url\": \"<URL>\"\n",
"wml_credentials = { \n",
" \"apikey\": \"<api key>\",\n",
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is this a regression or you prefer lower?

" \"instance_id\": \"<instance id>\",\n",
" \"url\": \"<URL>\"\n",
"}\n",
"client = WatsonMachineLearningAPIClient(wml_credentials)"
]
Expand Down