@@ -35,6 +35,9 @@ There are two ways to get the full text of an error message in the designer:
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| Column with name or index "{column_id}" not found.|
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| Column with name or index "{column_id}" does not exist in "{arg_name_missing_column}".|
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| Column with name or index "{column_id}" does not exist in "{arg_name_missing_column}", but exists in "{arg_name_has_column}".|
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+ | Columns with name or index "{column_names}" not found.|
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+ | Columns with name or index "{column_names}" does not exist in "{arg_name_missing_column}".|
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+ | Columns with name or index "{column_names}" does not exist in "{arg_name_missing_column}", but exists in "{arg_name_has_column}".|
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## Error 0002
@@ -380,6 +383,7 @@ For columns that you intend to use for grouping or categorization, take steps to
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| {dataset1} and {dataset2} should be consistent columnwise.|
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| {dataset1} contains invalid data, {reason}.|
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| {dataset1} contains {invalid_data_category}. {troubleshoot_hint}|
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+ | {dataset1} is not valid, {reason}. {troubleshoot_hint}|
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## Error 0019
@@ -1300,6 +1304,7 @@ Error handling for this event was introduced in an earlier version of Azure Mach
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| {data_name} contains invalid data for training.|
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| {data_name} contains invalid data for training. Learner type: {learner_type}.|
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| {data_name} contains invalid data for training. Learner type: {learner_type}. Reason: {reason}.|
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+ | Failed to apply "{action_name}" action on training data {data_name}. Reason: {reason}.|
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## Error 0084
@@ -1514,8 +1519,8 @@ Resolution:
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| Exception Messages|
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| ------------------------|
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- | Column names are not string.|
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- | Column names: {column_names} are not string.|
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+ | The dataframe column name must be string type. Column names are not string.|
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+ | The dataframe column name must be string type. Column names {column_names} are not string.|
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## Error 0156
@@ -1536,6 +1541,15 @@ Resolution:
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| Datastore information is invalid. Failed to get AzureML datastore '{datastore_name}' in workspace '{workspace_name}'.|
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+ ## Error 0158
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+ Thrown when a transformation directory is invalid.
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+ | Exception Messages|
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+ | ------------------------------------------------------------|
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+ | Given TransformationDirectory is invalid.|
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+ | TransformationDirectory "{arg_name}" is invalid. Reason: {reason}. Please rerun training experiment which generates the Transform file. If training experiment was deleted, please recreate and save the Transform file.|
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+
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+
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## Error 1000
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Internal library exception.
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