1. Asked: July 5, 2023In:

    Unable to restore deleted queries in Azure DevOps.

    Adithya Pundit

    In Azure Devops under Boards -> WorkItems you can find the Recycle Bin option where you can restore the deleted items. If  you are unable to restore you can try restoring from a different user. It can be due to user restrictions also.

    In Azure Devops under Boards -> WorkItems you can find the Recycle Bin option where you can restore the deleted items.

    If  you are unable to restore you can try restoring from a different user. It can be due to user restrictions also.

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  2. Asked: July 5, 2023In:

    How can I check the file size and directories in the HDFS directory?

    Adithya Pundit
    This answer was edited.

    Using du command you can check file size and directories. hdfs dfs -du -s -h /$DirectoryName

    Using du command you can check file size and directories.

    hdfs dfs -du -s -h /$DirectoryName

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  3. Asked: July 5, 2023In:

    Is it possible to access MongoDB without a driver on json REST API?

    Peggy Professional
    This answer was edited.

    To use the Data API, you don't need to install any database drivers or libraries. You need to perform regular HTTPS requests instead. curl --request POST \ 'https://data.mongodb-api.com/app/data-abcde/endpoint/data/v1/action/insertOne' \ --header 'apiKey: TpqAKQgvhZE4r6AOzpVydJ9a3tB1BLMrgDzLlBLbihKNRead more

    To use the Data API, you don’t need to install any database drivers or libraries. You need to perform regular HTTPS requests instead.

    curl --request POST \
'https://data.mongodb-api.com/app/data-abcde/endpoint/data/v1/action/insertOne' \
--header 'apiKey: TpqAKQgvhZE4r6AOzpVydJ9a3tB1BLMrgDzLlBLbihKNDzSJWTAHMVbsMoIOpnM6' \
--header 'Content-Type: application/json' \
--data-raw '{
"dataSource": "Cluster0",
"database": "learn-data-api",
"collection": "hello",
"document": {
"text": "Hello from the Data API!",
}
}'
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  4. Asked: July 5, 2023In:

    How do you use export within a function in javascript ES6 in connection with MongoDB?

    Peggy Professional

    You can use awaits followed by the export outside or without the function. await client.connect(); export default client.db();

    You can use awaits followed by the export outside or without the function.

    await client.connect();
export default client.db();
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  5. Asked: July 5, 2023In:

    Analyze in Excel option not available in Power BI.

    Calvin Explainer
    This answer was edited.

    Select a dataset in a Power BI workspace. In the Dataset details page, select Analyze in Excel on the menu bar. After you select Analyze in Excel, Power BI generates an Excel workbook and saves it to your OneDrive SharePoint account.

    Select a dataset in a Power BI workspace. In the Dataset details page, select Analyze in Excel on the menu bar. After you select Analyze in Excel, Power BI generates an Excel workbook and saves it to your OneDrive SharePoint account.

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  6. Asked: July 5, 2023In:

    How can I convert date string into date value in MongoDB?

    Peggy Professional
    This answer was edited.

    Using $dateFromString we can convert date string into date value. $dateFromString: { dateString: "$runDate", format: "%m/%d/%Y" }

    Using $dateFromString we can convert date string into date value.

            $dateFromString: {
          dateString: "$runDate",
          format: "%m/%d/%Y"
        }
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  7. Asked: July 5, 2023In:

    In Keras, how do you calculate precision and recall?

    Adithya Pundit

    For Keras version 2 precision and recall were removed from the master branch. Whereas in version 2.3.0 they are provided with library package. You can try using later version.   tf.keras.metrics.Precision( thresholds=None, top_k=None, class_id=None, name=None, dtype=None ) tf.keras.metrics.RecaRead more

    For Keras version 2 precision and recall were removed from the master branch. Whereas in version 2.3.0 they are provided with library package. You can try using later version.

     

    tf.keras.metrics.Precision(
    thresholds=None, top_k=None, class_id=None, name=None, dtype=None
)
    tf.keras.metrics.Recall(
    thresholds=None, top_k=None, class_id=None, name=None, dtype=None
)

    you can also refer to the metrics in keras.io

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