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Merge pull request #114198 from Aniththa/patch-50
Update resource-known-issues.md
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articles/machine-learning/resource-known-issues.md

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@@ -34,7 +34,7 @@ Sometimes it can be helpful if you can provide diagnostic information when askin
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Learn about the [resource quotas](how-to-manage-quotas.md) you might encounter when working with Azure Machine Learning.
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## Installation and import
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* **Pip Installation: Dependencies are not guaranteed to be consistent with single line installation**:
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This is a known limitation of pip, as it does not have a functioning dependency resolver when you install as a single line. The first unique dependency is the only one it looks at.
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pip install azure-ml-datadrift
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pip install azureml-train-automl
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```
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* **Explanation package not guarateed to be installed when installing the azureml-train-automl-client:**
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When running a remote automl run with model explanation enabled you will see an error message saying ""Please install azureml-explain-model package for model explanations." This is a known issue and as a workaround please follow one of the steps below:
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1. Install azureml-explain-model locally.
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```
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pip install azureml-explain-model
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```
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2. Disable the explainability feature entirely by passing model_explainability=False in the automl configuration.
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```
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automl_config = AutoMLConfig(task = 'classification',
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path = '.',
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debug_log = 'automated_ml_errors.log',
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compute_target = compute_target,
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run_configuration = aml_run_config,
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featurization = 'auto',
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model_explainability=False,
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training_data = prepped_data,
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label_column_name = 'Survived',
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**automl_settings)
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```
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* **Panda errors: Typically seen during AutoML Experiment:**
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When manually setting up your environmnet using pip, you will notice attribute errors (especially from pandas) due to unsupported package versions being installed. In order to prevent such errors, [please install the AutoML SDK using the automl_setup.cmd](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/README.md):

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