Module: 05

Lab/Demo: 05

Description of issue

I am having troubles deploying to managed endpoint (CLIv2) from this tutorial, lab 5 : mslearn-aml-cli (microsoftlearning.github.io). It keeps failing on deployment (resource not ready). I have model trained using MLFlow format, score script and env is generated automatically. After some digging this is the error thrown during deployment:

ERROR: Could not find a version that satisfies the requirement sanic~=21.6.0 (from azureml-inference-server-http) (from versions: 0.1.0, 0.1.1, 0.1.3, 0.1.4, 0.1.5, 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.3.0, 0.3.1, 0.4.0, 0.4.1, 0.5.0, 0.5.1, 0.5.2, 0.5.4, 0.6.0, 0.7.0, 0.8.0, 0.8.1, 0.8.2, 0.8.3, 18.12.0, 19.3.1, 19.6.0, 19.6.2, 19.6.3, 19.9.0, 19.12.0, 19.12.2, 19.12.3, 19.12.4, 19.12.5, 20.3.0, 20.6.0, 20.6.1, 20.6.2, 20.6.3, 20.9.0, 20.9.1, 20.12.0, 20.12.1, 20.12.2, 20.12.3, 20.12.4, 20.12.5, 20.12.6)
ERROR: No matching distribution found for sanic~=21.6.0
Error occurred. Sleeping to send error logs.

Repro steps:

Follow Lab 5

Module: 05

Lab/Demo: 05

Task: 03: Create a new pipeline with the Designer

Step: 05: In the left menu, expand the Datasets section.

Description of issue
Hello,

I can not find the "diabetes-data" component in Datasets section of the Designer. In fact, there is no section called "Datasets" to expand anymore. I only see "Data" section, under which there is no "diabetes-data" either. Please advise! Thanks again!

Br, He Zhang

Repro steps:

Module: 05

Lab/Demo: 05

Task: 01

Step: 04

Description of issue

Failed on step "az ml job create --file ./mslearn-aml-cli/Allfiles/Labs/05/job.yml" (already putting my own compute instance as instructed, but still failed). Errors as below:

FAREAST+zhanghe@cn-zhanghe MINGW64 ~/Desktop/mslearn-aml-cli/Allfiles/Labs/05 (master)
$ az ml job create --file job.yml
ERROR: Met error <class 'marshmallow.exceptions.ValidationError'>:Validation for PipelineJobSchema failed:

{
"jobs": {
"stats_job": {
"value": [
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./summary-stats.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./summary-stats.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"code": [
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/codes/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"_schema": [
"Not a valid URL."
]
},
{
"_schema": [
"Not a valid string."
]
}
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['command']"
]
},
{
"objective": [
"Missing data for required field."
],
"limits": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['sweep']"
],
"trial": [
"Missing data for required field."
]
},
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./summary-stats.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./summary-stats.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"type": [
"Value command passed is not in set ['parallel']"
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['parallel']"
]
},
{
"command": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['command']"
],
"component": [
"Unknown field."
]
},
{
"null": [
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
]
}
]
},
{
"type": [
"Value component passed is not in set ['parallel']"
]
}
]
},
"fix_missing_job": {
"value": [
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./fix-missing-data.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./fix-missing-data.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"code": [
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/codes/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"_schema": [
"Not a valid URL."
]
},
{
"_schema": [
"Not a valid string."
]
}
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['command']"
]
},
{
"objective": [
"Missing data for required field."
],
"limits": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['sweep']"
],
"trial": [
"Missing data for required field."
]
},
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./fix-missing-data.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./fix-missing-data.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"type": [
"Value command passed is not in set ['parallel']"
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['parallel']"
]
},
{
"command": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['command']"
],
"component": [
"Unknown field."
]
},
{
"null": [
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
]
}
]
},
{
"type": [
"Value component passed is not in set ['parallel']"
]
}
]
},
"normalize_job": {
"value": [
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./normalize-data.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./normalize-data.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"code": [
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/codes/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"_schema": [
"Not a valid URL."
]
},
{
"_schema": [
"Not a valid string."
]
}
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['command']"
]
},
{
"objective": [
"Missing data for required field."
],
"limits": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['sweep']"
],
"trial": [
"Missing data for required field."
]
},
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./normalize-data.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./normalize-data.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"type": [
"Value command passed is not in set ['parallel']"
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['parallel']"
]
},
{
"command": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['command']"
],
"component": [
"Unknown field."
]
},
{
"null": [
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
]
}
]
},
{
"type": [
"Value component passed is not in set ['parallel']"
]
}
]
},
"train_job": {
"value": [
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./train-decision-tree.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./train-decision-tree.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"code": [
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'collections.OrderedDict'>: OrderedDict([('local_path', './src')])"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing codes, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/codes/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"_schema": [
"Not a valid URL."
]
},
{
"_schema": [
"Not a valid string."
]
}
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['command']"
]
},
{
"objective": [
"Missing data for required field."
],
"limits": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['sweep']"
],
"trial": [
"Missing data for required field."
]
},
{
"component": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./train-decision-tree.yml"
]
},
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: file:./train-decision-tree.yml"
]
},
{
"_schema": [
"In order to specify an existing None, please provide the correct registry path prefixed with 'azureml://':\n"
]
},
{
"_schema": [
"In order to specify an existing components, please provide either of the following prefixed with 'azureml:':\n1. The full ARM ID for the resource, e.g.azureml:/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.MachineLearningServices/workspaces/<workspace_name>/components/<resource_name>/)\n2. The short-hand name of the resource registered in the workspace, eg: azureml::. For example, version 1 of the environment registered as 'my-env' in the workspace can be referenced as 'azureml:my-env:1'"
]
},
{
"type": [
"Value command passed is not in set ['parallel']"
]
},
{
"_schema": [
"Not supporting non file for component"
]
}
],
"type": [
"Value component passed is not in set ['parallel']"
]
},
{
"command": [
"Missing data for required field."
],
"type": [
"Value component passed is not in set ['command']"
],
"component": [
"Unknown field."
]
},
{
"null": [
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"target_column_name": [
"Missing data for required field."
],
"task": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
],
"target_column_name": [
"Missing data for required field."
]
},
{
"type": [
{
"_schema": [
"Value passed is not a data binding string: <class 'str'>: component"
]
},
{
"_schema": [
"Value component passed is not in set ['automl']"
]
}
],
"task": [
"Missing data for required field."
]
}
]
},
{
"type": [
"Value component passed is not in set ['parallel']"
]
}
]
}
},
"inputs": [
{
"pipeline_job_input": [
"Unknown field."
]
},
{
"pipeline_job_input": {
"value": [
{
"dataset": [
"Unknown field."
]
},
{
"dataset": [
"Unknown field."
],
"mode": [
"Unknown field."
]
},
{
"_schema": [
"Not a valid integer."
]
},
{
"_schema": [
"Not a valid string."
]
},
{
"_schema": [
"Not a valid boolean."
]
},
{
"_schema": [
"Not a valid number."
]
}
]
}
}
]
}

If you are trying to configure a job that is not of type pipeline, please specify the correct job type in the 'type' property.
For a more detailed breakdown of the PipelineJob schema, please see: https://aka.ms/ml-cli-v2-job-pipeline-yaml-reference.
The easiest way to author a specification file is using IntelliSense and auto-completion Azure ML VS code extension provides: https://code.visualstudio.com/docs/datascience/azure-machine-learning
To set up: https://docs.microsoft.com/azure/machine-learning/how-to-setup-vs-code
Please check log in debug mode for more details.

Module: Deploy a model to a managed online endpoint

Lab/Demo: 04

Task: Test the endpoint

Step:

Description of issue
When running the online-endpoint invoke command I receive the following error

cli.azure.cli.core.azclierror: Met error <class 'Exception'>:Invalid input format: expected an array of items.
Please check log by running the command with '--debug' for more details.
az_command_data_logger: Met error <class 'Exception'>:Invalid input format: expected an array of items.
Please check log by running the command with '--debug' for more details.

Repro steps:

Run - az ml online-endpoint invoke --name diabetes-mlflow --request-file ./mslearn-aml-cli/Allfiles/Labs/04/mlflow-endpoint/sample-data.json

Module: 00

Lab/Demo: 00

Task: 00

Step: 00

Description of issue
When running the following command i received a missing module error and the http endpoint never became available. This w as resolved by adding the following line to the conda.yaml file of the sample-mlflow-sklearn-model

• azureml-inference-server-http