def test_model():
X, y = load_sample_set()
# X_train, X_test, y_train, y_test = split_train_test(X, y, test_size = 0.10)
X_train = X
X_test = X
y_train = y
y_test = y
learning_system = FuzzyLearningSystem(res=1000)
learning_system.fit(X_train, y_train, X_n=4, y_n=2)
print(learning_system)
score = learning_system.score(X_test, y_test)
print(score)
df = pd.DataFrame()
for i in np.arange(0, 11, 0.5):
y_hat = learning_system.get_result({'X': i})['y']
a_row = pd.Series([i, y_hat])
row_df = pd.DataFrame([a_row])
df = pd.concat([row_df, df])
plt.scatter(X, y)
plt.scatter(df[0], df[1])
plt.show()
for y_range in range(2, 5):
learning_system = FuzzyLearningSystem(res=1000)
learning_system.fit(X_train, y_train, X_n=x_range, y_n=y_range)
# learning_system.plot_variables()
# print(learning_system)
score = learning_system.score(X_test, clean_y)
df = df[0:0]
for i in np.arange(0, 50, 1):
y_hat = learning_system.get_result({'x': i})['Y']
a_row = pd.Series([i, y_hat])
row_df = pd.DataFrame([a_row])
df = pd.concat([row_df, df])
axes[x_range - 3, y_range - 2].plot(X, clean_y)
# axes[x_range-1, y_range-1].plot(X, y)
axes[x_range - 3, y_range - 2].plot(df[0], df[1])
axes[x_range - 3, y_range - 2].set_title(
f'sets x: {1+(2*x_range)}, sets y:{1+(2*y_range)}, R-Squared:{score:1.3f}'
)
axes[x_range - 3, y_range - 2].set_xlabel('')
plt.show()
y_train = y
y_test = y
learning_system = FuzzyLearningSystem(res=1000)
learning_system.fit(X_train, y_train, X_n=3, y_n=4)
# learning_system.plot_variables()
print(learning_system)
score = learning_system.score(X_test, y_test)
print(score)
df = pd.DataFrame()
for i in np.arange(54,79,0.5):
y_hat = learning_system.get_result({'Age':i})['SBP']
a_row = pd.Series([i, y_hat])
row_df = pd.DataFrame([a_row])
df = pd.concat([row_df, df])
plt.scatter(X, y)
plt.scatter(df[0], df[1])
plt.show()