def process_label_logic(currentIndex, input_obj, label_file_buffers, max, min,
output_obj, v_scale):
# Calculate the label value(label the movement percentage input/output)
labeler = market_data_labeler.y_labeler(output_obj, max, min, v_scale,
const.HSI_IMAGE_HEIGHT)
is_over_20_pct = int(labeler.isLabelPositive(1, 0.2))
is_over_40_pct = int(labeler.isLabelPositive(1, 0.4))
temp_str = str(currentIndex) + ', ' + input_obj.md_date[0] + ', ' + str(
is_over_20_pct) + ', ' + str(is_over_40_pct) + ', ' + str(
max) + ', ' + str(min) + ', ' + str(v_scale) + '\n'
label_file_buffers.append(temp_str)
def test_label_drop_90_pct(self):
labeler = pkg_ylabel.y_labeler(self.extract_obj, 22125, 22108, 5.65,
const.HSI_IMAGE_HEIGHT)
is_positive = labeler.isLabelPositive(-1, 0.9)
nptest.assert_equal(is_positive, False)
def test_label_rise_50_pct(self):
labeler = pkg_ylabel.y_labeler(self.extract_obj, 22125, 22108, 5.65,
const.HSI_IMAGE_HEIGHT)
is_positive = labeler.isLabelPositive(1, 0.5)
nptest.assert_equal(is_positive, True)