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Runtime error
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import logging
from abc import ABC, abstractmethod
from sklearn.linear_model import LinearRegression
class Model(ABC):
"""
Abstract class for all models
"""
@abstractmethod
def train(self, X_train, y_train):
"""
Trains the model
Args:
X_train: Training data
y_train: Training labels
Returns:
None
"""
pass
class LinearRegressionModel(Model):
"""
Linear Regression model
"""
def train(self, X_train, y_train, **kwargs):
"""
Trains the model
Args:
X_train: Training data
y_train: Training labels
Returns:
model
"""
try:
reg = LinearRegression(**kwargs)
reg.fit(X_train, y_train)
logging.info("Model training completed")
return reg
except Exception as e:
logging.error(f"Error in training model: {e}")
raise e |