Automatically generated by github-worflow[bot] for commit: 7aec0ab

README.md

@@ -1,3 +1,43 @@
+### Change log [2025-01-02 14:07:07]
+1. Item Updated: `tf2_serving` (from version: `1.1.0` to `1.1.0`)
+2. Item Updated: `aggregate` (from version: `1.3.0` to `1.3.0`)
+3. Item Updated: `onnx_utils` (from version: `1.2.0` to `1.2.0`)
+4. Item Updated: `validate_great_expectations` (from version: `1.1.0` to `1.1.0`)
+5. Item Updated: `sklearn_classifier` (from version: `1.1.1` to `1.1.1`)
+6. Item Updated: `batch_inference` (from version: `1.7.0` to `1.7.0`)
+7. Item Updated: `test_classifier` (from version: `1.1.0` to `1.1.0`)
+8. Item Updated: `noise_reduction` (from version: `1.0.0` to `1.0.0`)
+9. Item Updated: `translate` (from version: `0.1.0` to `0.1.0`)
+10. Item Updated: `pyannote_audio` (from version: `1.2.0` to `1.2.0`)
+11. Item Updated: `open_archive` (from version: `1.1.0` to `1.1.0`)
+12. Item Updated: `batch_inference_v2` (from version: `2.6.0` to `2.6.0`)
+13. Item Updated: `send_email` (from version: `1.2.0` to `1.2.0`)
+14. Item Updated: `structured_data_generator` (from version: `1.5.0` to `1.5.0`)
+15. Item Updated: `load_dataset` (from version: `1.2.0` to `1.2.0`)
+16. Item Updated: `model_server_tester` (from version: `1.1.0` to `1.1.0`)
+17. Item Updated: `text_to_audio_generator` (from version: `1.3.0` to `1.3.0`)
+18. Item Updated: `azureml_serving` (from version: `1.1.0` to `1.1.0`)
+19. Item Updated: `sklearn_classifier_dask` (from version: `1.1.1` to `1.1.1`)
+20. Item Updated: `silero_vad` (from version: `1.3.0` to `1.3.0`)
+21. Item Updated: `model_monitoring_batch` (from version: `1.1.0` to `1.1.0`)
+22. Item Updated: `github_utils` (from version: `1.1.0` to `1.1.0`)
+23. Item Updated: `azureml_utils` (from version: `1.3.0` to `1.3.0`)
+24. Item Updated: `arc_to_parquet` (from version: `1.4.1` to `1.4.1`)
+25. Item Updated: `describe_dask` (from version: `1.1.0` to `1.1.0`)
+26. Item Updated: `feature_selection` (from version: `1.5.0` to `1.5.0`)
+27. Item Updated: `hugging_face_serving` (from version: `1.1.0` to `1.1.0`)
+28. Item Updated: `v2_model_server` (from version: `1.2.0` to `1.2.0`)
+29. Item Updated: `v2_model_tester` (from version: `1.1.0` to `1.1.0`)
+30. Item Updated: `describe_spark` (from version: `1.1.0` to `1.1.0`)
+31. Item Updated: `gen_class_data` (from version: `1.2.0` to `1.2.0`)
+32. Item Updated: `auto_trainer` (from version: `1.7.0` to `1.7.0`)
+33. Item Updated: `mlflow_utils` (from version: `1.0.0` to `1.0.0`)
+34. Item Updated: `pii_recognizer` (from version: `0.3.0` to `0.3.0`)
+35. Item Updated: `describe` (from version: `1.3.0` to `1.3.0`)
+36. Item Updated: `model_server` (from version: `1.1.0` to `1.1.0`)
+37. Item Updated: `transcribe` (from version: `1.1.0` to `1.1.0`)
+38. Item Updated: `question_answering` (from version: `0.4.0` to `0.4.0`)
+
 ### Change log [2024-10-10 09:05:06]
 1. Item Updated: `sklearn_classifier` (from version: `1.1.1` to `1.1.1`)
 2. Item Updated: `noise_reduction` (from version: `1.0.0` to `1.0.0`)

functions/development/auto_trainer/1.7.0/src/requirements.txt

@@ -1,4 +1,4 @@
 pandas
-scikit-learn
-xgboost
-plotly
+scikit-learn<1.4.0
+xgboost<2.0.0
+plotly

functions/development/auto_trainer/latest/src/requirements.txt

@@ -1,4 +1,4 @@
 pandas
-scikit-learn
-xgboost
-plotly
+scikit-learn<1.4.0
+xgboost<2.0.0
+plotly

functions/development/describe/1.3.0/static/documentation.html

@@ -194,7 +194,7 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this
 <span id="describe-describe-module"></span><h2>describe.describe module<a class="headerlink" href="#module-describe.describe" title="Permalink to this headline">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="describe.describe.analyze">
-<span class="sig-prename descclassname"><span class="pre">describe.describe.</span></span><span class="sig-name descname"><span class="pre">analyze</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dataset'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">table</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.feature_store.FeatureSet</span><span class="p"><span class="pre">,</span> </span><span class="pre">mlrun.datastore.base.DataItem</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_column</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plots_dest</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'plots'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">problem_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'classification'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dask_key'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> → <span class="pre">None</span><a class="reference internal" href="describe.html#analyze"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#describe.describe.analyze" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">describe.describe.</span></span><span class="sig-name descname"><span class="pre">analyze</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dataset'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">table</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.feature_store.feature_set.FeatureSet</span><span class="p"><span class="pre">,</span> </span><span class="pre">mlrun.datastore.base.DataItem</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_column</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plots_dest</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'plots'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">problem_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'classification'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dask_key'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> → <span class="pre">None</span><a class="reference internal" href="describe.html#analyze"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#describe.describe.analyze" title="Permalink to this definition">#</a></dt>
 <dd><p>The function will output the following artifacts per
 column within the data frame (based on data types)
 If the data has more than 500,000 sample we

functions/development/describe/latest/static/documentation.html

@@ -194,7 +194,7 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this
 <span id="describe-describe-module"></span><h2>describe.describe module<a class="headerlink" href="#module-describe.describe" title="Permalink to this headline">#</a></h2>
 <dl class="py function">
 <dt class="sig sig-object py" id="describe.describe.analyze">
-<span class="sig-prename descclassname"><span class="pre">describe.describe.</span></span><span class="sig-name descname"><span class="pre">analyze</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dataset'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">table</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.feature_store.FeatureSet</span><span class="p"><span class="pre">,</span> </span><span class="pre">mlrun.datastore.base.DataItem</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_column</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plots_dest</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'plots'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">problem_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'classification'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dask_key'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> → <span class="pre">None</span><a class="reference internal" href="describe.html#analyze"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#describe.describe.analyze" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">describe.describe.</span></span><span class="sig-name descname"><span class="pre">analyze</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">context</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">mlrun.execution.MLClientCtx</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dataset'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">table</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">mlrun.feature_store.feature_set.FeatureSet</span><span class="p"><span class="pre">,</span> </span><span class="pre">mlrun.datastore.base.DataItem</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_column</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plots_dest</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'plots'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">problem_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'classification'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'dask_key'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dask_client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> → <span class="pre">None</span><a class="reference internal" href="describe.html#analyze"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#describe.describe.analyze" title="Permalink to this definition">#</a></dt>
 <dd><p>The function will output the following artifacts per
 column within the data frame (based on data types)
 If the data has more than 500,000 sample we