def check_model(self, X_train, X_val, y_train, y_val, X_test, y_test,
raw_seq):
""" Funtion used to navigate to the specific model. The is defined when initialising the class.
Reads the self.model_type
Each statement does the following:
- Calls function to format data for the model
- Calls funtion to train the model
- Calls funtion to plot the MSE graph
- Calls funtion to test the model
- Returns the accuarcy as R2 score"""
if self.model_type == 'CNN':
X_train, X_val, y_train, n_input, n_output, ytrain1, ytrain2, ytrain3, ytrain4 = CNN.data_format(
X_train, X_val, y_train)
history = CNN.CNN_train_model(self, X_train, X_val, y_train, y_val,
self.verbose, n_input, n_output,
ytrain1, ytrain2, ytrain3, ytrain4)
Models.plotting(history)
yhat = CNN.CNN_test_model(self, X_test, self.verbose, y_test)
Models.accuracy(self, yhat, y_test, X_test, self.model_type)
if self.model_type == 'MLP':
X_train, X_val, y_train, n_input, n_output, ytrain1, ytrain2, ytrain3, ytrain4 = MLP.data_format(
X_train, X_val, y_train)
history = MLP.MLP_train_model(self, X_train, X_val, y_train, y_val,
self.verbose, n_input, n_output,
ytrain1, ytrain2, ytrain3, ytrain4)
# Models.plotting(history)
yhat, final_cols = MLP.MLP_test_model(X_test, self.verbose, y_test)
Models.accuracy(self, yhat, y_test, final_cols, self.model_type)
if self.model_type == 'KNN':
X_train, X_val, y_train, X_test = KNN.data_format(
X_train, X_val, y_train, X_test)
yhat, final_cols = KNN.KNN_train_model(self, X_train, X_val,
y_train, y_val, X_test,
y_test, raw_seq)
Models.accuracy(self, yhat, y_test, final_cols, self.model_type)
if self.model_type == 'LSTM':
history, model = LSTMs.LSTM_train_model(self, X_train, X_val,
y_train, y_val,
self.verbose)
Models.plotting(history)
yhat = LSTMs.LSTM_test_model(X_test, model, self.verbose, y_test)
Models.accuracy(self, yhat, y_test, X_test, self.model_type)
if self.model_type == 'BASELINE':
n_input, X_train, n_output = BaseLine.data_format(X_train, y_train)
model = BaseLine.baseline_train(self, X_train, y_train, n_input,
n_output)
yhat, final_cols = BaseLine.baseline_test(X_test, n_input, model)
Models.accuracy(self, yhat, y_test, final_cols, self.model_type)
