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Documentation match latest Logger interface
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docs/logger.md
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docs/logger.md
@ -11,20 +11,12 @@ Using the **TRAINS** [Logger](https://github.com/allegroai/trains/blob/master/tr
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* [Confusion matrices](#confusion-matrices)
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* [Confusion matrices](#confusion-matrices)
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* [Surface diagrams](#surface-diagrams)
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* [Surface diagrams](#surface-diagrams)
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* [Images](#images)
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* [Images](#images)
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* [Files](#files)
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* Track hyper-parameters and OS environment variables
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* Track hyper-parameters and OS environment variables
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* Logging experiment parameter [dictionaries](#logging-experiment-parameter-dictionaries)
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* Logging experiment parameter [dictionaries](#logging-experiment-parameter-dictionaries)
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* Specifying [environment variables](#specifying-environment-variables-to-track) to track
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* Specifying [environment variables](#specifying-environment-variables-to-track) to track
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* Message logging
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* Message logging
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* [Debugging messages](#debugging-messages)
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* [Informational messages](#informational-messages)
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* [Warnings](#warnings)
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* [General errors](#general-errors)
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* [Critial errors](#critical-errors)
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* [Fatal errors](#fatal-errors)
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* [Console and logger messages](#console-and-logger-messages)
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* [Reporting text without formatting](#reporting-text-without-formatting)
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* [Reporting text without formatting](#reporting-text-without-formatting)
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Additionally, the **TRAINS** Logger module provides methods that allow you to do the following:
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Additionally, the **TRAINS** Logger module provides methods that allow you to do the following:
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@ -834,7 +826,7 @@ First [get the current logger](#get-the-current-logger) and then use it (see an
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**Method**:
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**Method**:
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```python
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```python
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def report_image_and_upload(self, title, series, iteration, path=None, matrix=None, max_image_history=None, delete_after_upload=False)
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def report_image(self, title, series, iteration, local_path=None, matrix=None, max_image_history=None, delete_after_upload=False)
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```
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```
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**Arguments**:
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**Arguments**:
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@ -921,7 +913,7 @@ def report_image_and_upload(self, title, series, iteration, path=None, matrix=No
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</td>
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</td>
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</tr>
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</tr>
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<tr>
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<tr>
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<td>path
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<td>local_path
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</td>
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</td>
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<td>string
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<td>string
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</td>
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</td>
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@ -933,106 +925,6 @@ def report_image_and_upload(self, title, series, iteration, path=None, matrix=No
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</tbody>
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</tbody>
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</table>
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</table>
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### Files
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Use to upload a file and report a link to it. The file contents is uploaded to the bucket specified in the **TRAINS** configuration file,
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or a [a default upload destination](#set-default-upload-destination), if you set a default.
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First [get the current logger](#get-the-current-logger) and then use it (see an [example script](https://github.com/allegroai/trains/blob/master/examples/manual_reporting.py)) with the following method.
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**Method**:
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```python
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def report_file_and_upload(self, title, series, iteration, path=None, max_file_history=None,
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delete_after_upload=False)
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```
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**Arguments**:
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<table width="100%">
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<thead>
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<tr>
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<th width="15%">Parameter
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</th>
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<th width="25%">Type
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</th>
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<th width="55%">Description
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</th>
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<th width="5%">Mandatory
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</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>iteration
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</td>
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<td>integer
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</td>
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<td>The iteration number.
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</td>
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<td>Yes
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</td>
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</tr>
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<tr>
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<td>series
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</td>
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<td>string
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</td>
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<td>The label of the series.
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</td>
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<td>Yes
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</td>
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</tr>
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<tr>
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<td>title
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</td>
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<td>string
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</td>
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<td>The title of the image.
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</td>
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<td>Yes
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</td>
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</tr>
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<tr>
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<td>delete_after_upload
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</td>
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<td>boolean
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</td>
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<td>Indicates whether to delete the local copy of the file after uploading it. The values are:
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<ul>
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<li><code>True</code> - delete
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</li>
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<li><code>False</code> - do not delete (default)
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</li>
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</ul>
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</td>
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<td>No
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</td>
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</tr>
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<tr>
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<td>max_file_history
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</td>
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<td>integer
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</td>
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<td>The maximum number of images to store per metric / variant combination. For an unlimited number of files to store, specify a negative number.
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The default value which is set in the global configuration is <code>5</code>.
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</td>
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<td>No
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</td>
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</tr>
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<tr>
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<td>path
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</td>
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<td>string
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</td>
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<td>The path of the file to upload.
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</td>
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<td>No
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</td>
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</tr>
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</tbody>
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</table>
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## Hyper-parameters and Environment Variables
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## Hyper-parameters and Environment Variables
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### Logging Experiment Parameter Dictionaries
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### Logging Experiment Parameter Dictionaries
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