fix example in ads docs

.github/workflows/codeql.yml

@@ -0,0 +1,74 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL"
+
+on:
+ push:
+ branches: [ "main" ]
+ pull_request:
+ # The branches below must be a subset of the branches above
+ branches: [ "main" ]
+ schedule:
+ - cron: '40 11 * * 3'
+
+jobs:
+ analyze:
+ name: Analyze
+ runs-on: ubuntu-latest
+ permissions:
+ actions: read
+ contents: read
+ security-events: write
+
+ strategy:
+ fail-fast: false
+ matrix:
+ language: [ 'python' ]
+ # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
+ # Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
+
+ steps:
+ - name: Checkout repository
+ uses: actions/checkout@v3
+
+ # Initializes the CodeQL tools for scanning.
+ - name: Initialize CodeQL
+ uses: github/codeql-action/init@v2
+ with:
+ languages: ${{ matrix.language }}
+ # If you wish to specify custom queries, you can do so here or in a config file.
+ # By default, queries listed here will override any specified in a config file.
+ # Prefix the list here with "+" to use these queries and those in the config file.
+
+ # Details on CodeQL's query packs refer to : https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
+ # queries: security-extended,security-and-quality
+
+
+ # Autobuild attempts to build any compiled languages (C/C++, C#, Go, or Java).
+ # If this step fails, then you should remove it and run the build manually (see below)
+ - name: Autobuild
+ uses: github/codeql-action/autobuild@v2
+
+ # ℹ️ Command-line programs to run using the OS shell.
+ # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
+
+ # If the Autobuild fails above, remove it and uncomment the following three lines.
+ # modify them (or add more) to build your code if your project, please refer to the EXAMPLE below for guidance.
+
+ # - run: |
+ # echo "Run, Build Application using script"
+ # ./location_of_script_within_repo/buildscript.sh
+
+ - name: Perform CodeQL Analysis
+ uses: github/codeql-action/analyze@v2
+ with:
+ category: "/language:${{matrix.language}}"

docs/source/user_guide/apachespark/dataflow-spark-magic.rst

@@ -239,7 +239,7 @@ To connect to the existing session use the `%use_session` magic command.
 
 .. code-block:: python
 
- %use_session -s "<application_id>"
+ %use_session -s <application_id>
 
 
 Basic Spark Usage Examples

docs/source/user_guide/model_registration/quick_start.rst

@@ -139,8 +139,8 @@ Create a model, prepare it, verify that it works, save it to the model catalog,
  artifact_dir=tempfile.mkdtemp()
  torch_model = PyTorchModel(torch_estimator, artifact_dir=artifact_dir)
 
- # Autogenerate score.py, pickled model, runtime.yaml, input_schema.json and output_schema.json
- # Set `save_entire_model` to `True` to save the model as Torchscript program.
+ # Autogenerate score.py, serialized model, runtime.yaml
+ # Set `use_torch_script` to `True` to save the model as Torchscript program.
  torch_model.prepare(inference_conda_env="pytorch110_p38_cpu_v1", use_torch_script=True)
 
  # Verify generated artifacts