Update app.py

app.py

@@ -81,8 +81,8 @@ 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.}''')
+\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))