Now run the command with your custom data, problem type and target feature
>> # For Classification Problem >>> python -m tab_automl.main -d "your custom data scource\custom_data.csv" -t "classification" -tf "your_custom_target_feature" -spd "true" -sfd "true" -sm "true"">
>>># For Regression Problem>>>python-mtab_automl.main-d"your custom data scource\custom_data.csv"-t"regression"-tf"your_custom_target_feature"-spd"true"-sfd"true"-sm"true">>># For Classification Problem>>>python-mtab_automl.main-d"your custom data scource\custom_data.csv"-t"classification"-tf"your_custom_target_feature"-spd"true"-sfd"true"-sm"true"
Contributing Guidelines
Coment on the issue on which you want to work.
If you get assigned, fork the repository.
Create a new branch which should be named on your github user_id , e.g. sagnik1511.
Update the changes on that branch.
Create a PR (Pull request) to the main branch of the parent repository.
The PR title should named like this [Issue Number] Heading of the issue.
Describe the changes you have done with proper reasons.
Segment axon and myelin from microscopy data using deep learning. Written in Python. Using the TensorFlow framework. Based on a convolutional neural network architecture. Pixels are classified as eit