How to pass arguments to get_data script in AutoMLConfig
I am trying to run AutoML experiment on my Azure Batch AI cluster. I created the following AutoMLConfig
AutoMLConfig(task='classification',
debug_log='automl_errors.log',
path=project_folder,
compute_target=compute_target,
data_script=project_folder + "/get_data.py",
exit_score=0.9985,
**automl_settings)
In the get_data python script, I would like to read the data from the default datastore. Is there a possibility to pass the mounted datastore to this script as a parameter(similar to Estimator and script_params):
est = Estimator(
source_directory=script_folder,
script_params=script_params,
compute_target=compute_target,
entry_script='train.py',
conda_packages=['scikit-learn']
)
If not, could anyone please advise what is the best way to read the data from the default datastore in the get_data script?
python
azure machine-learning automl asked Nov 15 '18 at 13:21
OkrmOkrm
464
add a comment |
I am trying to run AutoML experiment on my Azure Batch AI cluster. I created the following AutoMLConfig
AutoMLConfig(task='classification',
debug_log='automl_errors.log',
path=project_folder,
compute_target=compute_target,
data_script=project_folder + "/get_data.py",
exit_score=0.9985,
**automl_settings)
In the get_data python script, I would like to read the data from the default datastore. Is there a possibility to pass the mounted datastore to this script as a parameter(similar to Estimator and script_params):
est = Estimator(
source_directory=script_folder,
script_params=script_params,
compute_target=compute_target,
entry_script='train.py',
conda_packages=['scikit-learn']
)
If not, could anyone please advise what is the best way to read the data from the default datastore in the get_data script?
python
azure machine-learning automl asked Nov 15 '18 at 13:21
OkrmOkrm
464
add a comment |
I am trying to run AutoML experiment on my Azure Batch AI cluster. I created the following AutoMLConfig
AutoMLConfig(task='classification',
debug_log='automl_errors.log',
path=project_folder,
compute_target=compute_target,
data_script=project_folder + "/get_data.py",
exit_score=0.9985,
**automl_settings)
In the get_data python script, I would like to read the data from the default datastore. Is there a possibility to pass the mounted datastore to this script as a parameter(similar to Estimator and script_params):
est = Estimator(
source_directory=script_folder,
script_params=script_params,
compute_target=compute_target,
entry_script='train.py',
conda_packages=['scikit-learn']
)
If not, could anyone please advise what is the best way to read the data from the default datastore in the get_data script?
python
azure machine-learning automl asked Nov 15 '18 at 13:21
OkrmOkrm
464
I am trying to run AutoML experiment on my Azure Batch AI cluster. I created the following AutoMLConfig
AutoMLConfig(task='classification',
debug_log='automl_errors.log',
path=project_folder,
compute_target=compute_target,
data_script=project_folder + "/get_data.py",
exit_score=0.9985,
**automl_settings)
In the get_data python script, I would like to read the data from the default datastore. Is there a possibility to pass the mounted datastore to this script as a parameter(similar to Estimator and script_params):
est = Estimator(
source_directory=script_folder,
script_params=script_params,
compute_target=compute_target,
entry_script='train.py',
conda_packages=['scikit-learn']
)
If not, could anyone please advise what is the best way to read the data from the default datastore in the get_data script?
python
azure machine-learning automl python
azure machine-learning automl asked Nov 15 '18 at 13:21
OkrmOkrm
464
asked Nov 15 '18 at 13:21
OkrmOkrm
464
asked Nov 15 '18 at 13:21
OkrmOkrm
464
asked Nov 15 '18 at 13:21
OkrmOkrm
464
asked Nov 15 '18 at 13:21
OkrmOkrm
464
464
add a comment |
add a comment |
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