# Auto Mode Parameters

The table below describes the supported parameters in auto mode The auto mode is a grid-search mode in the Cognex Deep Learning Parameter Search utility, which automatically optimizes the search schedule by adopting a policy that obtain the best results with minimizing the search time. Given a list of parameters and their values, auto mode stops training the loaded tool and moves on to training with another parameter values when it finds no reason for better results from the current parameter values. Only Standard type tools support auto mode..

Parameter | Tool | Data Type | Description
--- | --- | --- | ---
Patch Size | Standard type Red Analyze | String | It also supports Enum type input in GUI. 128x128, 256x256 Note: This parameter is selected by default on the Search page.
Horizontal Flip | Standard type Green Classify Standard type Red Analyze | Boolean | The syntax is the Boolean state, True or False. Note: This parameter is selected by default on the Search page.
Vertical Flip | Boolean | The syntax is the Boolean state, True or False. Note: This parameter is selected by default on the Search page.
Rotation 90º | Boolean | The syntax is the Boolean state, True or False. Note: This parameter is selected by default on the Search page.
Rotation | Boolean | The syntax is the Boolean state, True or False.
Zoom In | Boolean | The syntax is the Boolean state, True or False.
Colorwise | Boolean | The syntax is the Boolean state, True or False.
Gradation | Boolean | The syntax is the Boolean state, True or False.
Distortion | Boolean | The syntax is the Boolean state, True or False.
Contrast | Boolean | The syntax is the Boolean state, True or False.
Luminance | Boolean | The syntax is the Boolean state, True or False.
Sharpen | Boolean | The syntax is the Boolean state, True or False.
Blur | Boolean | The syntax is the Boolean state, True or False.
Noise | Boolean | The syntax is the Boolean state, True or False.

## Unsupported Parameters

The auto mode does not support the following parameters and the values of these parameters that were set in the loaded workspace are ignored:

- Class Weight

- Patience Epoch

- Validation Set Ratio

- All processing parameters

Processing parameters are not supported because the Cognex Deep Learning Parameter Search utility in auto mode picks the best parameter combinations based on the loss The Loss refers to validation loss, which is a metric that shows how a tool performs on the validation set. Loss can have a value between 0 and 1. The VisionPro Deep Learning application calculates the Loss based on the errors the tool makes when processing the images in the validation set. During training, you can check the Loss in real-time using the Loss Inspector. of, not the Precision, Recall, and F-score. Unlike in manual mode Manual mode is a grid-search mode in the Cognex Deep Learning Parameter Search utility, which runs tests on every selected parameter and their value ranges., you can only check these metrics on the Results page after all searches are successfully completed.