Skip to content

Commit

Permalink
auto commit README.md and index.json
Browse files Browse the repository at this point in the history
  • Loading branch information
@github-actions @actions-user
github-actions[bot] authored and actions-user committed Dec 19, 2022
1 parent eaf8925 commit ab670fa
Showing 1 changed file with 93 additions and 62 deletions.
155 changes: 93 additions & 62 deletions notebook_examples/index.json
View file
Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,9 @@
"genome visualization",
"oracle open data"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0 (https://oss.oracle.com/licenses/upl/)",
"summary": "Load visual data, define regions, and visualize objects using metadata to connect structured images to language.",
"title": "Visual Genome Repository"
Expand All @@ -28,8 +29,9 @@
"sentiment analysis",
"custom plugins"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Use the ADS SDK to process and manipulate strings. This notebook includes regular expression matching and natural language (NLP) parsing, including part-of-speech tagging, named entity recognition, and sentiment analysis. It also shows how to create and use custom plugins specific to your specific needs.",
"title": "Natural Language Processing"
Expand All @@ -44,8 +46,9 @@
"machine learning",
"classification"
],
"last_modified": "2022-12-19T18:02:03.701708",
"last_modified_stat": 1671472923.7017083,
"last_modified": "2022-12-19T18:04:40.791229",
"last_modified_stat": 1671473080.7912295,
"last_modified_stat_iso": "2022-12-19T18:04:40.791229",
"license": "Universal Permissive License v 1.0",
"summary": "Compare training time between CPU and GPU trained models using XGBoost.",
"title": "XGBoost with RAPIDS"
Expand All @@ -58,8 +61,9 @@
"seaborn plot",
"charts"
],
"last_modified": "2022-12-19T18:02:03.701708",
"last_modified_stat": 1671472923.7017083,
"last_modified": "2022-12-19T18:04:40.791229",
"last_modified_stat": 1671473080.7912295,
"last_modified_stat_iso": "2022-12-19T18:04:40.791229",
"license": "Universal Permissive License v 1.0",
"summary": "Perform common data visualization tasks and explore data with the ADS SDK. Plotting approaches include 3D plots, pie chart, GIS plots, and Seaborn pairplot graphs.",
"title": "Visualizing Data"
Expand All @@ -71,8 +75,9 @@
"sql magic",
"autonomous database"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Use SQL Magic commands to work with a database within a Jupytyer notebook. This notebook shows how to to use both line and cell magics.",
"title": "Introduction to SQL Magic"
Expand All @@ -84,8 +89,9 @@
"bds",
"fsspec"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Manage data using fsspec file system. Read and save data using pandas and pyarrow through fsspec file system.",
"title": "How to Read Data with fsspec from Oracle Big Data Service (BDS)"
Expand All @@ -99,8 +105,9 @@
"register model",
"train model"
],
"last_modified": "2022-12-19T18:02:03.701708",
"last_modified_stat": 1671472923.7017083,
"last_modified": "2022-12-19T18:04:40.791229",
"last_modified_stat": 1671473080.7912295,
"last_modified_stat_iso": "2022-12-19T18:04:40.791229",
"license": "Universal Permissive License v 1.0",
"summary": "Train, register, and deploy an scikit-learn model.",
"title": "Train, register, and deploy Sklearn Model"
Expand All @@ -112,8 +119,9 @@
"pyspark",
"data flow"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Develop local PySpark applications and work with remote clusters using Data Flow.",
"title": "PySpark"
Expand All @@ -127,8 +135,9 @@
"register model",
"train model"
],
"last_modified": "2022-12-19T18:02:03.701708",
"last_modified_stat": 1671472923.7017083,
"last_modified": "2022-12-19T18:04:40.791229",
"last_modified_stat": 1671473080.7912295,
"last_modified_stat_iso": "2022-12-19T18:04:40.791229",
"license": "Universal Permissive License v 1.0",
"summary": "Train, register, and deploy an XGBoost model.",
"title": "Train, Register, and Deploy an XGBoost Model"
Expand All @@ -140,8 +149,9 @@
"data catalog metastore",
"data flow"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Write and test a Data Flow batch application using the Oracle Cloud Infrastructure (OCI) Data Catalog Metastore. Configure the job, run the application and clean up resources.",
"title": "Using Data Catalog Metastore with DataFlow"
Expand All @@ -153,8 +163,9 @@
"streaming",
"kafka"
],
"last_modified": "2022-12-19T18:02:03.697708",
"last_modified_stat": 1671472923.6977081,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Connect to Oracle Cloud Insfrastructure (OCI) Streaming service with kafka.",
"title": "Introduction to Streaming"
Expand All @@ -168,8 +179,9 @@
"register model",
"train model"
],
"last_modified": "2022-12-19T18:02:03.701708",
"last_modified_stat": 1671472923.7017083,
"last_modified": "2022-12-19T18:04:40.791229",
"last_modified_stat": 1671473080.7912295,
"last_modified_stat_iso": "2022-12-19T18:04:40.791229",
"license": "Universal Permissive License v 1.0",
"summary": "Train, register, and deploy a TensorFlow model.",
"title": "Train, Register, and Deploy a TensorFlow Model"
Expand All @@ -181,8 +193,9 @@
"data labeling",
"text classification"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Use the Oracle Cloud Infrastructure (OCI) Data Labeling service to efficiently build enriched, labeled datasets for the purpose of accurately training AI/ML models. This notebook demonstrates operations that can be performed using the Advanced Data Science (ADS) Data Labeling module.",
"title": "Text Classification with Data Labeling Service Integration"
Expand All @@ -195,8 +208,9 @@
"big data service",
"livy"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Work interactively with a BDS cluster using Livy and two different connection techniques, SparkMagic (for a notebook environment) and with REST.",
"title": "Using Livy on the Big Data Service"
Expand All @@ -212,8 +226,9 @@
"imbalanced dataset",
"synthetic dataset"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Train and evaluate different types of models: binary classification using an imbalanced dataset, multi-class classification using a synthetically generated dataset consisting of three equally distributed classes, and a regression using a synthetically generated dataset with positive targets.",
"title": "Model Evaluation with ADSEvaluator"
Expand All @@ -227,8 +242,9 @@
"iam",
"access management"
],
"last_modified": "2022-12-19T18:02:03.685708",
"last_modified_stat": 1671472923.685708,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Configure and test API key authentication, attach keys to user account through Oracle's identity service, and test access to the API.",
"title": "API Keys"
Expand All @@ -240,8 +256,9 @@
"pyspark",
"data flow"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Demonstrates how to use Spark NLP within a long lasting Oracle Cloud Infrastructure Data Flow cluster.",
"title": "Spark NLP within Oracle Cloud Infrastructure Data Flow Studio"
Expand All @@ -255,8 +272,9 @@
"register model",
"train model"
],
"last_modified": "2022-12-19T18:02:03.697708",
"last_modified_stat": 1671472923.6977081,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Train, register, and deploy a LightGBM model.",
"title": "Train, Register, and Deploy a LightGBM Model"
Expand All @@ -269,8 +287,9 @@
"pedestrian detection",
"oracle open data"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Download and process annotated video data of vehicles and pedestrians.",
"title": "Caltech Pedestrian Detection Benchmark Repository"
Expand All @@ -283,8 +302,9 @@
"data catalog metastore",
"pyspark"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Configure and use PySpark to process data in the Oracle Cloud Infrastructure (OCI) Data Catalog metastore, including common operations like creating and loading data from the metastore.",
"title": "Using Data Catalog Metastore with PySpark"
Expand All @@ -298,8 +318,9 @@
"register model",
"train model"
],
"last_modified": "2022-12-19T18:02:03.701708",
"last_modified_stat": 1671472923.7017083,
"last_modified": "2022-12-19T18:04:40.791229",
"last_modified_stat": 1671473080.7912295,
"last_modified_stat_iso": "2022-12-19T18:04:40.791229",
"license": "Universal Permissive License v 1.0",
"summary": "Train, register, and deploy a PyTorch model.",
"title": "Train, Register, and Deploy a PyTorch Model"
Expand All @@ -314,8 +335,9 @@
"text_classification",
"text_explanation"
],
"last_modified": "2022-12-19T18:02:03.697708",
"last_modified_stat": 1671472923.6977081,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Perform model explanations on an NLP classifier using the locally interpretable model explanations technique (LIME).",
"title": "Text Classification and Model Explanations using LIME"
Expand All @@ -327,8 +349,9 @@
"pyspark",
"data flow"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Run interactive Spark workloads on a long lasting Oracle Cloud Infrastructure Data Flow Spark cluster through Apache Livy integration. Data Flow Spark Magic is used for interactively working with remote Spark clusters through Livy, a Spark REST server, in Jupyter notebooks. It includes a set of magic commands for interactively running Spark code.",
"title": "Introduction to the Oracle Cloud Infrastructure Data Flow Studio"
Expand All @@ -339,8 +362,9 @@
"keywords": [
"loading data"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Load data from a variety of sources and in different formats. Sources include local storage, OCI storage, and different databases. Formats include Pandas DataFrames, parquet, excel, csv, and Python primitives.",
"title": "Loading Data with DatasetFactory"
Expand All @@ -354,8 +378,9 @@
"scikit-learn",
"scikit learn"
],
"last_modified": "2022-12-19T18:02:03.685708",
"last_modified_stat": 1671472923.685708,
"last_modified": "2022-12-19T18:04:40.775229",
"last_modified_stat": 1671473080.7752295,
"last_modified_stat_iso": "2022-12-19T18:04:40.775229",
"license": "Universal Permissive License v 1.0",
"summary": "Enhance performance of scikit-learn models using the Intel(R) oneAPI Data Analytics Library. Train a k-means model using both sklearn and the accelerated Intel library and compare performance.",
"title": "Intel Extension for Scikit-Learn"
Expand All @@ -368,8 +393,9 @@
"pipeline step",
"jobs pipeline"
],
"last_modified": "2022-12-19T18:02:03.693708",
"last_modified_stat": 1671472923.6937082,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Create and use ML pipelines through the entire machine learning lifecycle",
"title": "Working with Pipelines [Limited Availability]"
Expand All @@ -381,8 +407,9 @@
"text extraction",
"nlp"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Extract text from common formats (e.g. PDF and Word) into plain text. Customize this process for individual use cases.",
"title": "Text Extraction Using the Accelerated Data Science (ADS) SDK"
Expand All @@ -394,8 +421,9 @@
"autonomous driving",
"oracle open data"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Download, process and display autonomous driving data, and map LiDAR data onto images.",
"title": "Audi Autonomous Driving Dataset Repository"
Expand All @@ -406,8 +434,9 @@
"keywords": [
"hyperparameter tuning"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Use ADSTuner to optimize an estimator using the scikit-learn API",
"title": "Introduction to ADSTuner"
Expand All @@ -421,8 +450,9 @@
"register model",
"train model"
],
"last_modified": "2022-12-19T18:02:03.697708",
"last_modified_stat": 1671472923.6977081,
"last_modified": "2022-12-19T18:04:40.783229",
"last_modified_stat": 1671473080.7832294,
"last_modified_stat_iso": "2022-12-19T18:04:40.783229",
"license": "Universal Permissive License v 1.0",
"summary": "Train, register, and deploy a generic model",
"title": "Train, Register, and Deploy a Generic Model"
Expand All @@ -435,8 +465,9 @@
"big data service",
"bds"
],
"last_modified": "2022-12-19T18:02:03.689708",
"last_modified_stat": 1671472923.6897082,
"last_modified": "2022-12-19T18:04:40.779229",
"last_modified_stat": 1671473080.7792294,
"last_modified_stat_iso": "2022-12-19T18:04:40.779229",
"license": "Universal Permissive License v 1.0",
"summary": "Connect to Oracle Big Data services using Kerberos.",
"title": "Connect to Oracle Big Data Service"
Expand Down

0 comments on commit ab670fa

Please sign in to comment.