Update app.py

app.py

@@ -80,9 +80,9 @@ const_model = data.target_train.mean(axis = 0)
 
 st.subheader('Train multiple linear regression model')
 st.latex(r'''\beta=(X^{T}_{train} X_{train})^{-1} X^{T}_{train} y_{train} \\
-&\hat{y}=X^{T}_{train} \beta\\
-&text{where} X_{train} text{and} X_{input} text{correspond to the training data and the input data you would like to inference on, respectively.}\\ 
-&X_{train} text{and} X_{input} text{both have a column of ones concatenated to the feature space for the bias.}''')
+\hat{y}=X^{T}_{train} \beta \\
+text{where} X_{train} text{and} X_{input} text{correspond to the training data and the input data you would like to inference on, respectively.} \\ 
+X_{train} text{and} X_{input} text{both have a column of ones concatenated to the feature space for the bias.}''')
 st.text('adding bias unit')
 st.code('''X = data.input_train
 bias_vector = np.ones((X.shape[0], 1))