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import streamlit.components.v1 as components
def ChangeButtonColour(widget_label, font_color, background_color='transparent'):
htmlstr = f"""
<script>
var elements = window.parent.document.querySelectorAll('button');
for (var i = 0; i < elements.length; ++i) {{
if (elements[i].innerText == '{widget_label}') {{
elements[i].style.color ='{font_color}';
elements[i].style.background = '{background_color}'
}}
}}
</script>
"""
components.html(f"{htmlstr}", height=0, width=0)
def first_five_posneg_indices(response_body):
values = response_body["explanations"][0]["shap_values"]
# Separate positive and negative values, keep indice as corresponds to key
positive_dict = {index: val for index, val in enumerate(values) if val > 0}
negative_dict = {index: val for index, val in enumerate(values) if val < 0}
# Sort dictionaries based on the magnitude of values
sorted_positive_indices = [index for index, _ in sorted(positive_dict.items(), key=lambda item: abs(item[1]), reverse=True)]
sorted_negative_indices = [index for index, _ in sorted(negative_dict.items(), key=lambda item: abs(item[1]), reverse=True)]
return [sorted_positive_indices[:5], sorted_negative_indices[:5]]
def get_texts(posneg_indices, feature_texts):
positive_texts = [feature_texts[x] for x in posneg_indices[0]]
negative_texts = [feature_texts[x] for x in posneg_indices[1]]
return positive_texts, negative_texts
def get_input_values(posneg_indices, data_instance):
values = data_instance["instances"][0]
outputs = []
for lst in posneg_indices:
vals = []
for idx in lst:
if idx in range(7,12):
val = str(bool(values[idx])).capitalize()
else:
val = values[idx]
vals.append(val)
outputs.append(vals)
return outputs[0], outputs[1]
response = {
"predictions": [
True
],
"explanations": [
{
"shap_values": [
-0.020634920634920784,
-0.053968253968253166,
-0.0015873015873012486,
0,
0.04603174603174587,
-0.12063492063492065,
0.8365079365079348,
-0.16349206349206302,
0.12222222222222279,
-0.04444444444444462,
-0.02444444444444462,
0.03603174603174587,
],
"expected_value": 0.4
}
]
}
feature_texts = {0: "Day out of 30", 1: "Type of transaction: ", 2: "Amount transferred: ", 3: "Initial balance of sender: ", 4: "New balance of sender: ",
5: "Initial balance of recipient: ", 6: "New balance of recipient: ", 7: "Sender's balance was exactly credited: ",
8: "Receiver's balance was exactly credited: ", 9: "Transaction over 450.000: ", 10: "Frequent receiver of transactions: ", 11: "Receiver is merchant: ", 12: "Sender ID: ", 13: "Receiver ID: "}
example_input = {"instances":[[1,"PAYMENT",9839.64,170136,160296.36,0,0,1,1,0,0,1,84,2424]]} |