Interesting. It does not work for me. I am using V17. This is what I get
""" Python code generated by JMP v17.0.0 """
def getModelMetadata():
return {"creator": u"Neural", "modelName": u"", "predicted": u"Percent body fat", "table": u"Body Fat", "version": u"17.0.0", "timestamp": u"2022-12-01T13:45:24Z"}
def getInputMetadata():
return {
u"Abdomen circumference (cm)": "float",
u"Age (years)": "float",
u"Ankle circumference (cm)": "float",
u"Biceps (extended) circumference (cm)": "float",
u"Chest circumference (cm)": "float",
u"Forearm circumference (cm)": "float",
u"Height (inches)": "float",
u"Hip circumference (cm)": "float",
u"Knee circumference (cm)": "float",
u"Neck circumference (cm)": "float",
u"Thigh circumference (cm)": "float",
u"Weight (lbs)": "float",
u"Wrist circumference (cm)": "float"
}
def getOutputMetadata():
return {
u"Predicted Percent body fat_1": "float"
}
def score(indata, outdata):