How to upload own models

When uploading own models, users need to:

1. Navigate to the 'Model upload' tab in Data settings
2. Define the model name: Provide a name for your model.
3. Specify Model Architecture: Indicate whether the model is based on machine learning or deep learning (deep learning support is coming soon).
4. Specify Training and Testing Data: Provide the datasets to be used for training and testing the model.

NOTE: If the training and testing data are not provided, AryaXAI will automatically select a random sub-sample from the training data to use as testing data. This allows AryaXAI to benchmark your uploaded model against a subset of the training data.

NOTE: Ensure that all features used in your model are presented in the data you have uploaded ie; data points in the model and uploaded file need to be the same.

Supported models

Following are the models that you can upload to AryaXAI:

• XGBoost
• LGBoost
• CatBoost
• RandomForest
• SGD (Stochastic Gradient Descent)
• Logistic Regression
• Linear Regression
• GaussianNaiveBayes

NOTE: Deep Learning is not available at the moment. In the meantime, you can use ML.

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