Machine Learning Module Error Codes
Updated: August 15, 2016
This topic lists the errors that might be reported in individual modules in Azure Machine Learning Studio, either when an experiment fails, or when you are editing the properties of the module. To resolve the issue, click the error name in the following table and read about common causes.
There are two ways to get the full text of an error message in Studio:
Click the link, View Output Log, in the right pane and scroll to the bottom of the. The detailed error message is generally displayed in the last two lines of the window.
Select the module that has the error, and click the red X. Only the pertinent error text is displayed.
If the error message text is not helpful, please send us information about the context and any desired additions or changes. You can either submit feedback on the error topic, or visit the Azure Machine Learning forum and post a question.
Exception | Description |
|---|---|
Error 0000 | Internal Error |
Exception occurs if one or more specified columns of data set couldn't be found. | |
Exception occurs if one or more parameters could not be parsed or converted from specified type into required by target method type. | |
Exception occurs if one or more of inputs are null or empty. | |
Exception occurs if parameter is less than or equal to specific value. | |
Exception occurs if parameter is less than a specific value. | |
Exception occurs if parameter is greater than or equal to the specified value. | |
Exception occurs if parameter is greater than a specific value. | |
Exception occurs if parameter is not in range. | |
Exception occurs if Azure storage account name or container name specified incorrectly. | |
Exception occurs if input datasets have column names that should match but do not. | |
Exception occurs if passed column set argument does not apply to any of dataset columns. | |
Exception occurs if instance of class could not be created with passed set of arguments. | |
Exception occurs if passed to module learner has invalid type. | |
Exception occurs if amount of column unique values is greater than allowed. | |
Exception occurs if database connection has failed. | |
Exception occurs if input datasets passed to the module should have compatible column types but do not. | |
Exception occurs if one or more specified columns have type unsupported by current module. | |
Exception occurs if input dataset is not valid. | |
Exception occurs if column is expected to contain sorted values, but it does not. | |
Exception occurs if number of columns in some of the datasets passed to the module is too small. | |
Exception occurs if number of rows in some of the datasets passed to the module is too small. | |
Exception occurs if number of selected columns in input dataset does not equal to the expected number. | |
Exception occurs if target column of input dataset is not valid for the current trainer module. | |
Exception occurs if dataset does not contain a label column. | |
Exception occurs if dataset does not contain a score column. | |
Exception occurs if columns with the same name is not allowed. | |
Exception occurs in case when two objects have to be of the same size but are not. | |
Exception occurs in the case when column set contains duplicated column names and it is not allowed. | |
Exception occurs in case when invalid URI is passed. | |
Exception uccurs in the case when it is not possible to download a file. | |
Exception occurs if number of columns in column set is less than needed. | |
Exception occurs if argument is not a number. | |
Exception occurs if argument is Infinity. | |
Exception occurs if more than one rating exists for a given user-item pair. | |
Exception occurs if no features were provided for a given user or item. | |
Exception occurs if multiple feature vectors were provided for a given user or item. | |
Exception occurs if multiple label columns are specified and just one is allowed. | |
Exception occurs if number of elements expected should be an exact value, but is not. | |
Exception occurs if operation has failed. | |
Exception occurs when calling a deprecated module. | |
Exception occurs when calling a deprecated module. | |
Exception occurs when it is not possible to convert column to another type. | |
Exception occurs when element type does not explicitly implement Equals. | |
Exception occurs when it is not possible to derive element type of column from the existing values. | |
Exception occurs when it is not possible to create a column because of mixed element types in the source. | |
Exception occurs when it is not possible to create directory on specified path. | |
Exception occurs if number of feature columns in some of the datasets passed to the module is too small. | |
Exception occurs in the case when it is not possible to open a file. | |
Exception occurs in the case when it is not possible to parse a file. | |
Exception occurs in the case when input and output files are the same. | |
Exception occurs in the case when several output files are the same. | |
Exception occurs if Azure storage account key is specified incorrectly. | |
Exception occurs in the case when there are no user features or items for machbox reccomendations. | |
Exception occurs if there is too few distinct values in the column to complete operation. | |
Exception occurs when calling a deprecated module. | |
Exception occurs if columns are selected in a column picker violates the Selected Columns Category constraint. | |
Exception occurs when attempting to create a file or blob that already exists. | |
Exception occurs if dataset does not contain the expected label column. | |
Exception occurs if a column index specified in a column picker cannot be parsed. | |
Exception occurs when an out of range column range is specified in a column picker. | |
Exception occurs when attempting to add a row to a DataTable that has a different number of columns than the table. | |
Exception occurs when attempting to compare two models with different learner types. | |
Exception occurs when R script evaluation fails with an error. | |
Exception occurs if Azure storage account name or storage key is specified incorrectly. | |
Exception occurs if Azure blob name is specified incorrectly. | |
Exception occurs if a resource could not be uploaded to an Azure Blob. | |
Exception occurs if a dataset has a different number of columns than expected. | |
Exception occurs if the specified Hive script is not correct. | |
Exception occurs if the specified SQL script is not correct. | |
Exception occurs when attempting to access non-existent Azure table. | |
Exception occurs if provided credentials are incorrect. | |
Exception occurs in the case of connection timeout. | |
Exception occurs if an error occurs while converting a column to another type. | |
Exception occurs when the Metadata Editor tries to convert a sparse column to categorical. | |
Exception occurs when an invalid binning function is used when quantizing a dataset. | |
Exception occurs when unknown blob file write mode passed. | |
Exception occurs when the HTTP option for Import Data receives a 3xx status code indicating redirection. | |
Exception occurs if Azure storage container name is specified incorrectly. | |
Exception occurs when column with all values missing is not allowed by module. | |
Exception occurs in PCA module if number of dimensions to reduce to is equal to number of feature columns in input dataset, containing at least one sparse feature column. | |
Exception occurs when a model cannot be successfully deserialized. | |
Exception occurs if dataset used for training cannot be used for concrete type of learner. | |
Exception occurs when scores produced from an R Script are evaluated. This is currently unsupported. | |
Exception occurs when script evaluation fails with an error. | |
Exception occurs when a counting transform is invalid. | |
Exception occurs when an invalid count table type is specified for learning with counts modules. | |
Exception occurs when an invalid counting type is specified for learning with counts modules. | |
Exception occurs when the specified number of classes is less than the actual number of classes in a dataset used for counting. | |
Exception occurs when Hive table creation fails. | |
Exception occurs when an unsupported language is specified for a custom module. | |
All port and parameter ID's must be unique. | |
Thrown when a ZIP file cannot be extracted | |
Thrown when a ZIP file does not contain any .xml files | |
Thrown when a module definition file references a script that cannot be located | |
Thrown when a module definition file defines an unsupported parameter type | |
Thrown when a module definition file defines an unsupported input type | |
Thrown when a module definition file defines an unsupported output type | |
Thrown when a module definition file defines more input or output ports than are supported | |
Thrown when a module definition file defines a column picker incorrectly | |
Thrown when a module definition file defines a column picker that references a non-existent input port ID | |
Thrown when a module definition file defines an invalid property | |
Thrown when a module definition file cannot be parsed | |
Thrown when a module definition file contains errors. | |
Thrown when building a custom module fails. | |
Thrown when a custom module default script has an unsupported extention. | |
Thrown when SQL write fails because the table is not writeable | |
Exception occurs if multiple weight columns are specified and just one is allowed. | |
Exception occurs if column of vectors is specified to be Label column. | |
Exception occurs if non-numeric or categorical column is specified to be the weight column. | |
Thrown when schema for multiple datasets do not match. | |
Exception occurs if the user specifies a SQL domain that is not supported in Azure ML. | |
Image pixel size exceeds allowed limit. | |
Number of conditional probabilities for categorical columns exceeds limit. | |
Number of columns in the dataset exceeds allowed limit. | |
Exception occurs when all rows in the training dataset contain missing values. | |
Exception occurs if one or more datasets in a zip file fails to be unzipped and registered correctly. | |
No file name was specified for unpacking; multiple files were found in zip file. | |
The specified file was not found in the zip file. | |
Exception occurs when label column is missing or has insufficient number of labeled rows. | |
Only centroid-based cluster is supported. | |
No file name was returned; unable to process the file as a result. | |
Azure Storage SDK encountered an error converting between table properties and dataset columns during read or write. | |
Memory has been exhausted, unable to complete running of module. | |
Exception occurs when it is not possible to convert column to another type. | |
Exception occurs if passed column set argument does not contain other columns except label column. | |
Exception occurs if the number of the selected numerical columns and unique values in the categorical and string columns is too small. | |
Exception occurs when the system cannot load certificate to authenticate | |
Can't parse user-provided URL that is supposed to be from GitHub. | |
User-provided GitHub url is missing the expected part. | |
Cannot create the replication directory for some reason. | |
When the user files are unzipped into the local directory, the combined path might be too long. | |
Could not download stuff from GitHub for some reason | |
Unauthorized access issues while extracting data or creating directory. | |
The user file does not exist inside GitHub bundle. | |
The scripts that come from the user package could not be unzipped, most likely because of the collision with Github files. | |
There was an error writing to cloud storage. Please check the url. | |
The Azure cloud type was specified incorrectly in the module context. | |
The storage end point specified is invalid. | |
The specified server name could not be resolved | |
The DocDb Client threw an exception | |
Bad response for HCatalog Server | |
Internal library exception. |