Implement Support for Regression Models

[ombhojane]

Currently, the explainableAI package only supports classification models. We need to extend its functionality to work with regression models as well.

[KunjShah95]

kidnly assign it to me

[ombhojane]

@KunjShah95 go ahead!

[KunjShah95]

not able to create pulll request so attaching the solution here

Extending ExplainableAI to Support Regression Models

To extend the ExplainableAI package to support regression models, we need to make the following changes:

1. Update the Model Interface

The current model interface is designed to work with classification models. We need to modify it to accommodate regression models. This can be done by adding a new method to the interface that returns the predicted values for regression models.

python

class ModelInterface:
def predict_proba(self, X):
# Returns the predicted probabilities for classification models
pass

def predict(self, X):
    # Returns the predicted values for regression models
    pass

2. Implement Regression Model Support

We need to update the existing implementation to support regression models. This involves modifying the explain method to handle regression models.

python

def explain(model, X, y, **kwargs):
if isinstance(model, RegressionModel):
# Handle regression models
pass
else:
# Handle classification models
pass

3. Add Regression Model Classes

We need to add new classes for regression models that implement the updated model interface.

python

class RegressionModel(ModelInterface):
def init(self, model):
self.model = model

def predict(self, X):
    # Returns the predicted values for regression models
    return self.model.predict(X)

4. Update the Explanation Algorithms

We need to update the explanation algorithms to support regression models. This involves modifying the algorithms to handle the predicted values returned by regression models.

python

def lime_explain(model, X, y, **kwargs):
if isinstance(model, RegressionModel):
# Handle regression models
pass
else:
# Handle classification models
pass

By making these changes, we can extend the ExplainableAI package to support regression models.

[ombhojane]

Hey, please try to make a PR along needed codes, it would be easier to me to assign labels and merge it!

[KunjShah95]

tried doing it but issue is there so pr is not happening

[ombhojane]

might be this resources help you:
https://youtu.be/8lGpZkjnkt4?si=0C02rqByAALGJ8ed
https://youtu.be/OVQK2zzb6U8?si=YXSyDfNqa0wJ0zgZ

Or you can see contribution.md present in our codebase

[KunjShah95]

i have pull requuest the fetaures u wanted to implement it in the code

[KunjShah95]

kidnly check it

[alo7lika]

Assign me this Work. I would love to contribute.

[KunjShah95]

i have already submitted the pr for it if u wish to contribute in it then u are welcome to do so

[KunjShah95]

will i get hactober fest reward for completing it