[Azure-Machine learning] ValidationException while running Auto ML

[NSVR57]

Hi ,

I am trying to execute the automl experiment on custom data set, but i am getting the following error . can you please help on this.

import logging

automl_settings = {
    "iteration_timeout_minutes": 10,
    "experiment_timeout_hours": 0.3,
    "enable_early_stopping": True,
    "primary_metric": 'r2_score',
    "featurization": 'auto',
    "verbosity": logging.INFO,
    "n_cross_validations": 5
}
from azureml.train.automl import AutoMLConfig
automl_config=AutoMLConfig(task='regression',debug_log='automated_ml_errors.log',
                             training_data=x_train,
                             label_column_name="sold_price",
                             **automl_settings)
from azureml.core import Experiment
experiment=Experiment(ws, 'sample-price')
experiment.submit(automl_config,show_output=True)
and error is:

ValidationException                       Traceback (most recent call last)
<ipython-input-85-0519fb6f2be1> in <module>
      1 from azureml.core import Experiment
      2 experiment=Experiment(ws, 'sample-price')
----> 3 experiment.submit(automl_config,show_output=True)

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/core/experiment.py in submit(self, config, tags, **kwargs)
    218         submit_func = get_experiment_submit(config)
    219         with self._log_context("submit config {}".format(config.__class__.__name__)):
--> 220             run = submit_func(config, self.workspace, self.name, **kwargs)
    221         if tags is not None:
    222             run.set_tags(tags)

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/train/automl/automlconfig.py in _automl_static_submit(automl_config_object, workspace, experiment_name, **kwargs)
     98             compute_target,
     99             parent_run_id,
--> 100             show_output)
    101 
    102         automl_run.add_properties(global_tracking_info_registry.gather_all(settings.path))

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/train/automl/automlconfig.py in _start_execution(experiment, settings_obj, fit_params, run_config, compute_target, parent_run_id, show_output)
    197             package_utilities._get_package_incompatibilities(
    198                 packages=package_utilities.AUTOML_PACKAGES,
--> 199                 ignored_dependencies=package_utilities._PACKAGES_TO_IGNORE_VERSIONS
    200             )
    201         automl_run = _default_execution(experiment, settings_obj, fit_params, True, show_output, parent_run_id)

/anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/automl/core/package_utilities.py in _get_package_incompatibilities(packages, ignored_dependencies, is_databricks_run)
    428                         missing_packages_message='\n'.join(messages),
    429                         reference_code=ReferenceCodes._PACKAGE_INCOMPATIBILITIES_FOUND,
--> 430                         validated_requirements_file_path=VALIDATED_REQ_FILE_PATH
    431                     )
    432                 )

ValidationException: ValidationException:
    Message: Install the required versions of packages using the requirements file. Requirements file location: /anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/automl/core/validated_linux_requirements.txt. Alternatively, use remote target to avoid dependency management. 
Package name/Required version/Installed version
azureml-core/pyopenssl<20.0.0/pyOpenSSL 20.0.0
    InnerException: None
    ErrorResponse 
{
    "error": {
        "code": "UserError",
        "message": "Install the required versions of packages using the requirements file. Requirements file location: /anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/automl/core/validated_linux_requirements.txt. Alternatively, use remote target to avoid dependency management. \nPackage name/Required version/Installed version\nazureml-core/pyopenssl<20.0.0/pyOpenSSL 20.0.0",
        "target": "azureml-core",
        "inner_error": {
            "code": "NotSupported",
            "inner_error": {
                "code": "IncompatibleOrMissingDependency"
            }
        },
        "reference_code": "435ab938-fd87-49bc-932e-6eec0d6aee4f"
    }
}

[rtanase]

Hi @NSVR57, it looks like some of the your locally installed dependencies are not matching the requirements of AutoML for local training. How did you create your local environment?

There are several ways to fix this error: 1) Use a remote compute for training, in which case AutoML will be handling the environment configuration to be used during training. 2) Create a new Compute Instance and try running the local training from within the notebook. The conda environment that ships with Compute Instance should already be compliant with AutoML requirements. 3) Following the error message, you could use the validated_linux_requirements.txt found at that local path to construct a conda environment that will be compatible with local AutoML training. You could also follow the instructions from this page (https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/automated-machine-learning#setup-using-a-local-conda-environment) to setup a local environment.

Please let us know if you're still having trouble with this issue. Thanks!

[gianmarcogenalti]

Hi @NSVR57, on an online notebook of Azure (I used the same as yours) I solved the same issue by changing the interpreter from Python 3.6 ML to Python 3!

[ForrestTrepte]

I encountered the same error when running the AutoML tutorial with the tutorials/regression-automl-nyc-taxi-data/regression-automated-ml.ipynb notebook. I created a compute VM using the Azure Machine Learning workspace so it seems like that should have had a Python environment already configured to work with AutoML and the tutorial, but that didn't seem to work in my case.

I fixed this by clicking *Open terminal (preview)" on the toolbar in the left-hand pane to open a command window and executed the following command: pip install -r /anaconda/envs/azureml_py36/lib/python3.6/site-packages/azureml/automl/core/validated_linux_requirements.txt

Then, after resetting and rerunning my tutorial notebook, it executed training without the above ValidationException error.

[kgpyi]

Hi, did it get solved, I am facing the same thing! I tried the suggestions given here, but it is not working.

[rtanase]

@kgpyi , do you mind pasting some details from your environment (conda list or pip list output) along with the error you were seeing (which package was it detecting as not compatible)?

Did you restart your kernel after installing / upgrading the pip packages?

[marcindulak]

Possibly related to https://github.com/Azure/MachineLearningNotebooks/issues/842

[CESARDELATORRE]

Closing this issue since there was not follow up after requesting additional details. Please, re-open issue if it's still happening and you can provide further details about it:

• conda list or pip list output

[joslat]

Hi, @CESARDELATORRE, I am getting this exact issue again, in Azure ML. I am using a default suggested compute node, STANDARD_DS12_V2 created on May 29, 2022 2:30 PM.

I am trying to fix it using this command as suggested above, but adjusted to the current python version: pip install -r /anaconda/envs/azureml_py38/lib/python3.8/site-packages/azureml/automl/core/validated_linux_requirements.txt

Which seems to be working... :)

IMHO this worked before out of the box without installing/resolving dependencies. so it basically seems that the compute images are set up without the proper dependencies.

(Dependencies before executing the pip install command) azureuser@ndc-compute:~$ conda list

packages in environment at /anaconda/envs/azureml_py38:

#

Name Version Build Channel

_libgcc_mutex 0.1 main
_openmp_mutex 4.5 1_gnu
_py-xgboost-mutex 2.0 cpu_0
_pytorch_select 0.1 cpu_0
absl-py 0.15.0 pypi_0 pypi adal 1.2.7 pypi_0 pypi adlfs 2022.4.0 pypi_0 pypi aiohttp 3.8.1 pypi_0 pypi aiohttp-cors 0.7.0 pypi_0 pypi aiosignal 1.2.0 pypi_0 pypi alembic 1.7.7 pypi_0 pypi ansiwrap 0.8.4 pypi_0 pypi antlr4-python3-runtime 4.7.2 pypi_0 pypi anyio 3.5.0 pypi_0 pypi applicationinsights 0.11.10 pypi_0 pypi arch 4.14 pypi_0 pypi argcomplete 2.0.0 pypi_0 pypi argon2-cffi 21.3.0 pypi_0 pypi argon2-cffi-bindings 21.2.0 pypi_0 pypi arviz 0.11.2 pyhd3eb1b0_0
asgiref 3.5.1 pypi_0 pypi astroid 2.11.5 pypi_0 pypi asttokens 2.0.5 pyhd3eb1b0_0 anaconda astunparse 1.6.3 pypi_0 pypi async-timeout 4.0.2 pypi_0 pypi attrs 21.4.0 pypi_0 pypi auto-tqdm 1.0.2 pypi_0 pypi autokeras 1.0.16 pypi_0 pypi autopep8 1.6.0 pypi_0 pypi azure-appconfiguration 1.1.1 pypi_0 pypi azure-batch 12.0.0 pypi_0 pypi azure-cli 2.36.0 pypi_0 pypi azure-cli-core 2.36.0 pypi_0 pypi azure-cli-telemetry 1.0.6 pypi_0 pypi azure-common 1.1.28 pypi_0 pypi azure-core 1.23.1 pypi_0 pypi azure-cosmos 3.2.0 pypi_0 pypi azure-data-tables 12.2.0 pypi_0 pypi azure-datalake-store 0.0.52 pypi_0 pypi azure-graphrbac 0.61.1 pypi_0 pypi azure-identity 1.7.0 pypi_0 pypi azure-keyvault 1.1.0 pypi_0 pypi azure-keyvault-administration 4.0.0b3 pypi_0 pypi azure-keyvault-keys 4.5.1 pypi_0 pypi azure-loganalytics 0.1.1 pypi_0 pypi azure-mgmt-advisor 9.0.0 pypi_0 pypi azure-mgmt-apimanagement 3.0.0 pypi_0 pypi azure-mgmt-appconfiguration 2.1.0b2 pypi_0 pypi azure-mgmt-applicationinsights 1.0.0 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pypi beautifulsoup4 4.11.1 pypi_0 pypi binutils_impl_linux-64 2.33.1 he6710b0_7
binutils_linux-64 2.33.1 h9595d00_15
blas 1.0 mkl
bleach 5.0.0 pypi_0 pypi blessed 1.19.1 pypi_0 pypi blis 0.4.1 pypi_0 pypi bokeh 2.4.2 pypi_0 pypi boruta 0.3 pypi_0 pypi boto 2.49.0 pypi_0 pypi boto3 1.20.19 pypi_0 pypi botocore 1.23.19 pypi_0 pypi bottleneck 1.3.4 pypi_0 pypi bzip2 1.0.8 h7f98852_4 conda-forge c-ares 1.18.1 h7f8727e_0
ca-certificates 2022.4.26 h06a4308_0
cachetools 5.0.0 pypi_0 pypi catalogue 1.0.0 pypi_0 pypi certifi 2021.10.8 py38h06a4308_2
cffi 1.15.0 py38hd667e15_1
cftime 1.5.1.1 py38hce1f21e_0
chardet 3.0.4 pypi_0 pypi charset-normalizer 2.0.12 pypi_0 pypi click 7.1.2 pypi_0 pypi cloudpickle 1.6.0 pyhd3eb1b0_0 anaconda colorama 0.4.4 pyh9f0ad1d_0 conda-forge colorful 0.5.4 pypi_0 pypi colorlover 0.3.0 pypi_0 pypi configparser 3.7.4 pypi_0 pypi contextlib2 21.6.0 pypi_0 pypi convertdate 2.4.0 pyhd8ed1ab_0 conda-forge coremltools 2.1.0 pypi_0 pypi cramjam 2.5.0 pypi_0 pypi cryptography 36.0.2 pypi_0 pypi cudatoolkit 10.1.243 h6bb024c_0 anaconda cufflinks 0.17.3 pypi_0 pypi curl 7.82.0 h7f8727e_0
cycler 0.11.0 pyhd8ed1ab_0 conda-forge cymem 2.0.6 pypi_0 pypi cython 0.29.17 pypi_0 pypi dask 2.30.0 pypi_0 pypi dask-sql 2022.4.1 pypi_0 pypi databricks-cli 0.16.6 pypi_0 pypi dataclasses 0.6 pypi_0 pypi datasets 1.8.0 pypi_0 pypi debugpy 1.6.0 pypi_0 pypi decorator 5.1.1 pyhd3eb1b0_0 anaconda defusedxml 0.7.1 pypi_0 pypi deprecated 1.2.13 pypi_0 pypi dice-ml 0.7.2 pypi_0 pypi dill 0.3.4 pypi_0 pypi distlib 0.3.4 pypi_0 pypi distributed 2.30.1 pypi_0 pypi distro 1.7.0 pypi_0 pypi dm-tree 0.1.7 pypi_0 pypi docker 5.0.3 pypi_0 pypi dotnetcore2 2.1.23 pypi_0 pypi dowhy 0.7.1 pypi_0 pypi econml 0.12.0 pypi_0 pypi en-core-web-sm 2.1.0 pypi_0 pypi encrypted-inference 0.9 pypi_0 pypi entrypoints 0.4 py38h06a4308_0 anaconda environments-utils 1.0.4 pypi_0 pypi ephem 4.1.2 py38h7f8727e_0
erroranalysis 0.2.1 pypi_0 pypi executing 0.8.3 pyhd3eb1b0_0 anaconda fabric 2.7.0 pypi_0 pypi fairlearn 0.7.0 pypi_0 pypi fastai 1.0.61 pypi_0 pypi fastapi 0.76.0 pypi_0 pypi fastjsonschema 2.15.3 pypi_0 pypi fastparquet 0.8.1 pypi_0 pypi fastprogress 1.0.2 pypi_0 pypi fbprophet 0.7.1 py38h950e882_0 conda-forge filelock 3.6.0 pypi_0 pypi fire 0.4.0 pypi_0 pypi flake8 4.0.1 pypi_0 pypi flask 1.0.3 pypi_0 pypi flask-cors 3.0.10 pypi_0 pypi flatbuffers 2.0 pypi_0 pypi freetype 2.11.0 h70c0345_0
frozenlist 1.3.0 pypi_0 pypi fsspec 2022.3.0 pypi_0 pypi funcy 1.17 pypi_0 pypi fusepy 3.0.1 pypi_0 pypi future 0.18.2 pypi_0 pypi gast 0.3.3 pypi_0 pypi gcc_impl_linux-64 7.3.0 habb00fd_1
gcc_linux-64 7.3.0 h553295d_15
gensim 3.8.3 pypi_0 pypi gevent 1.3.6 pypi_0 pypi gitdb 4.0.9 pypi_0 pypi gitpython 3.1.27 pypi_0 pypi google-api-core 2.7.2 pypi_0 pypi google-auth 2.6.5 pypi_0 pypi google-auth-oauthlib 0.4.6 pypi_0 pypi google-pasta 0.2.0 pypi_0 pypi googleapis-common-protos 1.56.0 pypi_0 pypi gpustat 1.0.0b1 pypi_0 pypi greenlet 1.1.2 pypi_0 pypi grpcio 1.44.0 pypi_0 pypi gunicorn 20.1.0 pypi_0 pypi gxx_impl_linux-64 7.3.0 hdf63c60_1
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interpret-community 0.25.0 pypi_0 pypi interpret-core 0.2.7 pypi_0 pypi invoke 1.7.0 pypi_0 pypi ipykernel 6.6.0 pypi_0 pypi ipython 8.2.0 py38h06a4308_0 anaconda ipython-genutils 0.2.0 pypi_0 pypi ipywidgets 7.7.0 pypi_0 pypi isodate 0.6.1 pypi_0 pypi isort 5.10.1 pypi_0 pypi itsdangerous 1.1.0 pypi_0 pypi javaproperties 0.5.2 pypi_0 pypi jedi 0.18.0 pypi_0 pypi jeepney 0.8.0 pypi_0 pypi jinja2 2.11.2 pypi_0 pypi jmespath 0.10.0 pypi_0 pypi joblib 0.14.1 py_0 anaconda jpeg 9e h7f8727e_0
jpype1 1.3.0 pypi_0 pypi json-logging-py 0.2 pypi_0 pypi json5 0.9.8 pypi_0 pypi jsondiff 1.3.1 pypi_0 pypi jsonpickle 2.1.0 pypi_0 pypi jsonschema 4.4.0 pypi_0 pypi jupyter 1.0.0 pypi_0 pypi jupyter-client 6.1.12 pypi_0 pypi jupyter-console 6.4.3 pypi_0 pypi jupyter-core 4.10.0 pypi_0 pypi jupyter-resource-usage 0.6.1 pypi_0 pypi jupyter-server 1.17.0 pypi_0 pypi jupyter-server-mathjax 0.2.5 pypi_0 pypi jupyter-server-proxy 3.2.1 pypi_0 pypi jupyter_client 7.2.2 py38h06a4308_0
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