#Conda python versions how to

Install Miniconda.Įnsure that conda 64-bit version 4.4.10 or later is installed. On Windows, run automl_setup from an Anaconda Prompt.

The automl_setup.cmd script does this automatically. If you encounter this error after upgrading from an SDK version before v1.0.76 to v1.0.76 or later, resolve the error by running: pip uninstall azureml-train automl and then pip install azureml-train-automl. ImportError: cannot import name AutoMLConfig Pip install -upgrade scikit-learn=0.20.3ĪutoML package changes since version 1.0.76 require the previous version to be uninstalled before updating to the new version. If there is a version mismatch, downgrade scikit-learn and/or pandas to correct version with the following, pip install -upgrade pandas=0.23.4 If your AutoML SDK training version is less than or equal to 1.12.0, you need pandas = 0.23.4 and sckit-learn=0.20.3. If there is a version mismatch, upgrade scikit-learn and/or pandas to correct version with the following, pip install -upgrade pandas=0.25.1

If your AutoML SDK training version is greater than 1.13.0, you need pandas = 0.25.1 and scikit-learn=0.22.1. Resolutions depend on your AutoML SDK training version: ImportError: cannot import name 'RollingOriginValidator',ĪttributeError: 'SimpleImputer' object has no attribute 'add_indicator' No module named 'composition._truncated_svd' After SDK version 1.13.0, models aren't loaded in older SDKs due to incompatibility between the older versions pinned in previous AutoML packages, and the newer versions pinned today. Version dependenciesĪutoML dependencies to newer package versions break compatibility.

#Conda python versions how to

In this guide, learn how to identify and resolve known issues in your automated machine learning experiments with the Azure Machine Learning SDK.