def plot_cost_function_over_iterations(x_data, function):
graph = Plot(x_values=x_data,
function=function,
title="Cost Function Over Iterations",
x_label="Iterations",
y_label="J (θ0, θ1)")
graph.show()
def plot_hypothesis_without_predicted_value(x_data, function):
graph = Plot(x_values=x_data,
function=function,
title="Predicted Profit vs. Population Size",
x_label="Population",
y_label="Profit")
graph.scatter(data.Population, data.Profit, label="Traning Data")
graph.show()
def plot_initial_data():
graph = Plot(x_values=None,
function=None,
title="Predicted Profit vs. Population Size",
x_label="Population",
y_label="Profit")
graph.scatter(data.Population, data.Profit, label="Traning Data")
graph.show()
def plot_hypothesis_with_predicted_value(x_data, function, value,
predicted_value):
graph = Plot(x_values=x_data,
function=function,
title="Predicted Profit vs. Population Size",
x_label="Population",
y_label="Profit")
graph.scatter(data.Population, data.Profit, label="Traning Data")
graph.scatter(value, predicted_value, label="Predicted Value", c="g")
graph.text(value - 0.55, predicted_value + 1, str(predicted_value)[0:6])
graph.show()