File "<ipython-input-20-09d287cbe6a8>", line 3

[fngwira14]

I have a problem in execution, anyone who can help to edit the code below::
::::::::::::::::::::::::::::::::::::::::::::::::::::::::The Code:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
def rdf_train_val(n_trees=10, train_sample_num = 2000, val_sample_num = 100, verbose=0):
# training data
x_train = np.zeros(shape=(train_sample_num, img_h * img_w * 3))
x_feature_train = np.zeros(shape=(train_sample_num, 64))
y_train = np.zeros(shape=(train_sample_num), dtype=np.uint8)
for i in range(train_sample_num):
x_feature_train[i] = (Ci.get_train_feature_Xi(i))
y_train[i] = (Ci.get_train_Yi(i))

# classification
rf = RandomForestClassifier(n_estimators=n_trees, bootstrap=True)
rf.fit(x_feature_train, y_train)

# training metrics
y_pred_train = rf.predict(x_feature_train)
if verbose == 1:
    print("Training metrics:")
    print(sklearn.metrics.classification_report(y_true=y_train, y_pred=y_pred_train))
else:
    train_acc = sklearn.metrics.accuracy_score(y_true=y_train, y_pred=y_pred_train)

# validation data
x_val = np.zeros(shape=(val_sample_num, img_h * img_w * 3))
x_feature_val = np.zeros(shape=(val_sample_num, 64))
y_val = np.zeros(shape=(val_sample_num), dtype=np.uint8)
for i in range(val_sample_num):
    x_feature_val[i] = (Ci.get_val_feature_Xi(i))
    y_val[i] = (Ci.get_val_Yi(i))

# validation metrics
y_pred_val = rf.predict(x_feature_val)
if verbose == 1:
    print("Validation metrics:")
    print(sklearn.metrics.classification_report(y_true=y_val, y_pred=y_pred_val))
else:
    val_acc = sklearn.metrics.accuracy_score(y_true=y_val, y_pred=y_pred_val)

return [train_acc, val_acc]

if name=='main':
img_w = 100
img_h = 100
Ci = Cell_img(img_w, img_h)
Ci.load(filepath="cell_images/")
Ci.divide_train_val(train_ratio=0.7)

# ntrees ~ acc
iter = 11
acc_list = np.zeros(shape=(iter, 3))
for i in range(iter):
    n_trees = np.power(2, i)
    acc_list[i][0] = n_trees
    acc_list[i][1:] = rdf_train_val(n_trees=n_trees,train_sample_num=10000,val_sample_num=1000)
np.savetxt('eval/rdf_ntrees.txt', acc_list)

:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::The Error Message::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
File "", line 3
x_train = np.zeros(shape=(train_sample_num, img_h * img_w * 3))
^
IndentationError: expected an indented block

[stale]

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