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# markup module that provides marked up text and a plot for the explanations | |
# external imports | |
import numpy as np | |
from numpy import ndarray | |
# internal imports | |
from utils import formatting as fmt | |
def markup_text(input_text: list, text_values: ndarray, variant: str): | |
bucket_tags = ["-5", "-4", "-3", "-2", "-1", "0", "+1", "+2", "+3", "+4", "+5"] | |
# Flatten the explanations values | |
if variant == "shap": | |
text_values = np.transpose(text_values) | |
text_values = fmt.flatten_values(text_values) | |
# Determine the minimum and maximum values | |
min_val, max_val = np.min(text_values), np.max(text_values) | |
# Separate the threshold calculation for negative and positive values | |
if variant == "visualizer": | |
neg_thresholds = np.linspace( | |
0, 0, num=(len(bucket_tags) - 1) // 2 + 1, endpoint=False | |
)[1:] | |
else: | |
neg_thresholds = np.linspace( | |
min_val, 0, num=(len(bucket_tags) - 1) // 2 + 1, endpoint=False | |
)[1:] | |
pos_thresholds = np.linspace(0, max_val, num=(len(bucket_tags) - 1) // 2 + 1)[1:] | |
thresholds = np.concatenate([neg_thresholds, [0], pos_thresholds]) | |
marked_text = [] | |
# Function to determine the bucket for a given value | |
for text, value in zip(input_text, text_values): | |
bucket = "-5" | |
for i, threshold in zip(bucket_tags, thresholds): | |
if value >= threshold: | |
bucket = i | |
marked_text.append((text, str(bucket))) | |
print(thresholds) | |
print(marked_text) | |
return marked_text | |
def color_codes(): | |
return { | |
# 1-5: Strong Light Sky Blue to Lighter Sky Blue | |
"-5": "#3251a8", # Strong Light Sky Blue | |
"-4": "#5A7FB2", # Slightly Lighter Sky Blue | |
"-3": "#8198BC", # Intermediate Sky Blue | |
"-2": "#A8B1C6", # Light Sky Blue | |
"-1": "#E6F0FF", # Very Light Sky Blue | |
"0": "#FFFFFF", # White | |
"+1": "#FFE6F0", # Lighter Pink | |
"+2": "#DF8CA3", # Slightly Stronger Pink | |
"+3": "#D7708E", # Intermediate Pink | |
"+4": "#CF5480", # Deep Pink | |
"+5": "#A83273", # Strong Magenta | |
} | |