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docs: add llm kmeans notebook as an included example #177

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ashleyxuu merged 27 commits into from
Nov 9, 2023
Merged

docs: add llm kmeans notebook as an included example #177

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891519b
docs: add llm kmeans notebook as an included example
Nov 7, 2023
dc3c4d8
removed cached cell output
Nov 7, 2023
07493c7
Add more subtitles
Nov 7, 2023
66bae52
Improve one comment
Nov 7, 2023
124b146
code formating fix for one cell
Nov 7, 2023
f32cce2
add some debug asserts
Nov 7, 2023
392488c
some fixes
Nov 8, 2023
0b28358
add PROJECT_ID
Nov 8, 2023
58bb925
Add incomplete cleaning up step
Nov 8, 2023
e9ae860
use bigframes-dev project id as default
Nov 8, 2023
0a0b096
clear all outputs
Nov 8, 2023
fe43376
change set up md cell
Nov 8, 2023
c9c63c1
add set the region
Nov 8, 2023
80dd62b
add another narrative md cell
Nov 8, 2023
299800f
add connection and cleanup
Nov 8, 2023
ba3c0b3
add encouraging md cell
Nov 8, 2023
606826a
use bigframes-dev as default PROJECT_ID
Nov 8, 2023
bbbf66d
reduce number of complaints to 5000
Nov 8, 2023
39d888d
add session to PaLM2TextGenerator
Nov 8, 2023
a0556cc
bpd -> bf
Nov 8, 2023
578b387
add resourcemanager.projects.setIamPolicy
Nov 8, 2023
613cb20
remove cleanup step
Nov 8, 2023
2e52e21
per testing requirement, block this notebook. (to be unblocked with f…
Nov 8, 2023
ccd26ce
clear all outputs
Nov 8, 2023
6b4d78a
5000 -> 10000
Nov 8, 2023
747829e
Add more explanation text
Nov 8, 2023
22f3adc
Merge branch 'main' into b303678335-kmeans-llm-notebook
ashleyxuu Nov 9, 2023
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code formating fix for one cell
  • Loading branch information
Henry J Solberg committed Nov 7, 2023
commit 124b1460b84d31d052e5bf7c8477899befe7aabb
10 changes: 5 additions & 5 deletions notebooks/generative_ai/bq_dataframes_llm_kmeans.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -195,7 +195,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {
"id": "cOuSOQ5FDewD"
},
Expand Down Expand Up @@ -305,13 +305,13 @@
"# Using bigframes, with syntax identical to pandas,\n",
"# filter out the first and second groups\n",
"cluster_1_result = combined_clustered_result[\n",
" combined_clustered_result[\"CENTROID_ID\"] == 1][[\"consumer_complaint_narrative\"]\n",
"]\n",
" combined_clustered_result[\"CENTROID_ID\"] == 1\n",
"][[\"consumer_complaint_narrative\"]]\n",
"cluster_1_result_pandas = cluster_1_result.head(5).to_pandas()\n",
"\n",
"cluster_2_result = combined_clustered_result[\n",
" combined_clustered_result[\"CENTROID_ID\"] == 2][[\"consumer_complaint_narrative\"]\n",
"]\n",
" combined_clustered_result[\"CENTROID_ID\"] == 2\n",
"][[\"consumer_complaint_narrative\"]]\n",
"cluster_2_result_pandas = cluster_2_result.head(5).to_pandas()"
]
},
Expand Down